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Ο τομέας του Εμπορίου Λιανικής περιλαμβάνει ποικίλες θέσεις εργασίας στην εξυπηρέτηση πελατών, τη διαχείριση καταστημάτων, τις πωλήσεις και την εμπορία προϊόντων σε διάφορες κατηγορίες. Το ελληνικό λιανεμπόριο εξελίσσεται με έμφαση στην ανάπτυξη του ηλεκτρονικού εμπορίου και τις πολυκαναλικές στρατηγικές, προσφέροντας ευκαιρίες καριέρας για δυναμικούς επαγγελματίες. Εργασία σε αυτόν τον τομέα σημαίνει άμεση επαφή με καταναλωτές και ανάπτυξη δεξιοτήτων πώλησης, μάρκετινγκ και διαχείρισης αποθεμάτων.

The Retail Sales sector offers diverse job roles in customer service, store management, sales, and merchandising across various product categories. Greece's retail landscape is evolving with a focus on e-commerce growth and omnichannel strategies, providing career opportunities for dynamic professionals. Working in this sector means engaging directly with consumers and developing skills in sales, marketing, and inventory management.

Ο κατασκευαστικός κλάδος περιλαμβάνει τεχνικά επαγγέλματα όπως πολιτικούς μηχανικούς, αρχιτέκτονες, διευθυντές έργων και τεχνίτες. Στην Ελλάδα, με τη συνεχή ανάπτυξη υποδομών και αστικών έργων, ο κλάδος προσφέρει σημαντικές ευκαιρίες επαγγελματικής εξέλιξης. Εργασία στην κατασκευή σημαίνει συμμετοχή στη διαμόρφωση του δομημένου περιβάλλοντος και στην ενίσχυση της οικονομικής ανάπτυξης της χώρας.

The Construction Sector encompasses a wide range of technical professions including civil engineers, architects, project managers, and skilled tradespeople. In Greece, this industry is expanding with infrastructure developments and urban projects, offering robust career growth and hands-on experience. Working in construction provides the opportunity to contribute to shaping the built environment and driving the country’s economic progress.

Ο τομέας της Εστίασης είναι ζωντανός και προσφέρει θέσεις εργασίας σε εστιατόρια, ξενοδοχεία, εκδηλώσεις catering και υπηρεσίες γρήγορου φαγητού. Οι ευκαιρίες καριέρας περιλαμβάνουν σεφ, προσωπικό κουζίνας, διαχείριση καταστημάτων και εξυπηρέτηση πελατών. Στην Ελλάδα, γνωστή για την πλούσια γαστρονομική παράδοση, ο τομέας αυτός εξασφαλίζει ανάπτυξη, βελτίωση κοινωνικών δεξιοτήτων και συμμετοχή σε μια δυναμική βιομηχανία φιλοξενίας.

The Catering and Food Service sector is vibrant, offering roles in restaurants, hotels, event catering, and fast food services. Career opportunities range from chefs and kitchen staff to restaurant management and customer service. In Greece, a country known for its rich culinary tradition, this sector promises growth, excellent interpersonal skills development, and the chance to be part of a dynamic hospitality industry.

Ο τομέας της Πληροφορικής προσφέρει ποικίλες ευκαιρίες καριέρας στην ανάπτυξη λογισμικού, διαχείριση συστημάτων, ασφάλεια δικτύων και ανάλυση δεδομένων. Η αναπτυσσόμενη ελληνική αγορά πληροφορικής δημιουργεί προοπτικές για επαγγελματίες κάθε επιπέδου, ενισχύοντας την καινοτομία και τον ψηφιακό μετασχηματισμό. Η εργασία στον χώρο της πληροφορικής σημαίνει συμβολή στην τεχνολογική εξέλιξη με ανταγωνιστικές αμοιβές και ευέλικτες μορφές απασχόλησης.

The Information Technology sector offers diverse career paths in software engineering, system administration, network security, and data analytics. Greece's expanding IT industry provides promising opportunities for professionals at all levels, fostering innovation and digital transformation. Working in IT means contributing to technological progress with competitive salaries and flexible work arrangements.

Ο τομέας της Βιομηχανικής Παραγωγής περιλαμβάνει θέσεις εργασίας σε διάφορους κλάδους όπως η αυτοκινητοβιομηχανία, τα ηλεκτρονικά και η επεξεργασία τροφίμων. Οι ευκαιρίες εκτείνονται από χειριστές παραγωγής και ειδικούς ποιοτικού ελέγχου μέχρι διευθυντές εργοστασίων, με την Ελλάδα να επενδύει στην εκσυγχρονισμό και τη βιωσιμότητα. Οι καριέρες σε αυτόν τον τομέα προσφέρουν σταθερότητα, ανάπτυξη δεξιοτήτων και συμβολή στην ενίσχυση της βιομηχανικής ανταγωνιστικότητας της χώρας.

The Industrial Production sector includes manufacturing jobs across diverse industries such as automotive, electronics, and food processing. Opportunities range from production operators and quality control specialists to plant managers, with Greece investing in modernization and sustainable practices. Careers in this sector offer job stability, skill development, and the chance to contribute to Greece’s growing industrial competitiveness.

Ο τομέας Τουρισμού και Ξενοδοχείων στην Ελλάδα προσφέρει πολυάριθμες ευκαιρίες απασχόλησης σε διοίκηση ξενοδοχείων, ταξιδιωτικά γραφεία, τουριστικά πρακτορεία και υπηρεσίες φιλοξενίας. Ως βασικός πυλώνας της ελληνικής οικονομίας, ο κλάδος αυτός δίνει προοπτικές ανάπτυξης σε επαγγελματίες με πάθος για την εξυπηρέτηση πελατών και την πολιτισμική ανταλλαγή. Με την αύξηση της βιώσιμης ανάπτυξης και των ψηφιακών πλατφορμών κράτησης, προσφέρει δυναμικούς ρόλους και ουσιαστική επαγγελματική εξέλιξη.

The Tourism and Hotels sector in Greece offers abundant career opportunities spanning hotel management, travel agencies, tour operations, and hospitality services. This vibrant industry is integral to the Greek economy, providing growth prospects for professionals passionate about customer service and cultural exchange. With the rise of sustainable tourism and digital booking platforms, this sector promises dynamic roles and rewarding experiences for career development.

Ο τομέας Αποθήκης και Logistics προσφέρει σημαντικές ευκαιρίες σταδιοδρομίας στη διαχείριση αποθεμάτων, τον συντονισμό αλυσίδας εφοδιασμού, τις μεταφορές και τις υπηρεσίες διανομής. Στην Ελλάδα, ο κλάδος εξελίσσεται με ταχύ ρυθμό, με αυξανόμενη ζήτηση για αποδοτικά συστήματα παράδοσης και ψηφιακές λύσεις logistics, παρέχοντας ρόλους από χειριστές αποθήκης έως υπεύθυνους logistics. Η εργασία σε αυτόν τον τομέα συμβάλλει καθοριστικά στο εμπόριο και προσφέρει προοπτικές εξέλιξης και εξειδίκευσης.

The Warehouse and Logistics sector offers vital career paths in inventory management, supply chain coordination, transportation, and distribution services. In Greece, this sector is rapidly evolving with increased demand for efficient delivery systems and digital logistics solutions, providing diverse roles from warehouse operatives to logistics managers. Working in this field means contributing to the backbone of commerce, with opportunities for advancement and specialization.

Ο τομέας της Εκπαίδευσης προσφέρει ποικίλες ευκαιρίες καριέρας, από τη διδασκαλία και την ακαδημαϊκή έρευνα έως διοικητικές θέσεις σε σχολεία και πανεπιστήμια. Στην Ελλάδα, η αυξανόμενη ζήτηση για εκπαιδευτικούς και εκπαιδευτές, ενισχυμένη από τις μεταρρυθμίσεις και την ψηφιακή μάθηση, δημιουργεί πολλές δυνατότητες επαγγελματικής ανάπτυξης. Η εργασία στην εκπαίδευση έχει σημαντικό κοινωνικό αντίκτυπο, συμβάλλοντας στη διαμόρφωση των μελλοντικών γενεών.

The Education sector offers rewarding career paths ranging from teaching and academic research to administrative and support roles in schools and universities. In Greece, there is a growing demand for educators and trainers, driven by reforms and digital learning trends, providing ample opportunities for professional development. Working in education allows you to make a significant impact by shaping future generations and fostering lifelong learning.

Ο τομέας των ΜΜΕ και των Social Media προσφέρει συναρπαστικές ευκαιρίες καριέρας στον τομέα της δημοσιογραφίας, της δημιουργίας περιεχομένου, του ψηφιακού μάρκετινγκ και της παραγωγής μέσων. Με την άνοδο των κοινωνικών δικτύων και των ψηφιακών πλατφορμών, οι επαγγελματίες μπορούν να αναπτύξουν ρόλους στη διαχείριση επιρροής, την επικοινωνία μάρκας και την παραγωγή μέσων. Ο συγκεκριμένος κλάδος στην Ελλάδα εξελίσσεται γρήγορα, προσφέροντας δημιουργικότητα και προοπτικές ανάπτυξης.

The Media and Social Media sector offers exciting career paths in journalism, content creation, digital marketing, and broadcasting. With the rise of social networks and online platforms, professionals can explore roles in media production, influencer management, and brand communication. This sector in Greece is rapidly evolving, providing opportunities for creativity, networking, and career advancement within a dynamic digital landscape.

Ο τομέας των Εταιρικών Πωλήσεων περιλαμβάνει θέσεις εργασίας που αφορούν πωλήσεις B2B, διαχείριση πελατών και ανάπτυξη επιχειρήσεων σε κλάδους όπως η τεχνολογία, η βιομηχανία και οι υπηρεσίες. Οι επαγγελματίες απολαμβάνουν δυναμικές καριέρες με ισχυρές προοπτικές αμοιβών και ανέλιξης, αναπτύσσοντας μακροχρόνιες συνεργασίες. Με την ανάπτυξη της αγοράς στην Ελλάδα, οι θέσεις σε αυτόν τον τομέα προσφέρουν προκλήσεις και σημαντική συμβολή στην επιχειρηματική εξέλιξη.

The Corporate Sales sector involves roles focused on B2B sales, account management, and business development across various industries like technology, manufacturing, and services. Professionals in this sector enjoy dynamic careers with strong earning potential, opportunities for advancement, and the chance to build lasting client relationships. With Greece's expanding business market, corporate sales positions offer rewarding challenges and essential contributions to company growth.

Ο τομέας των Χρηματοοικονομικών καλύπτει επαγγέλματα σε τράπεζες, επενδύσεις, λογιστική, ασφάλειες και χρηματοοικονομική ανάλυση. Στην Ελλάδα, αναπτύσσονται ευκαιρίες στο fintech και τη βιώσιμη χρηματοδότηση, με θέσεις από νέους αναλυτές έως ανώτερα στελέχη. Η εργασία στον χρηματοοικονομικό τομέα προσφέρει την ευκαιρία να συμβάλλετε στην οικονομική ανάπτυξη και να αποκτήσετε πολύτιμες δεξιότητες σε έναν δυναμικό κλάδο.

The Finance sector includes careers in banking, investment, accounting, insurance, and financial analysis. In Greece, opportunities are expanding in fintech and sustainable finance, offering roles from entry-level analysts to senior financial managers. Working in finance provides a chance to influence economic growth and gain valuable skills in a dynamic, evolving industry.

Ο τομέας Κέντρων Εξυπηρέτησης και Call Center περιλαμβάνει θέσεις εργασίας που επικεντρώνονται στην υποστήριξη πελατών, την επίλυση παραπόνων και την εμπορική υποστήριξη σε ποικίλους κλάδους. Στην Ελλάδα, ο αναπτυσσόμενος αυτός τομέας προσφέρει πολλές ευκαιρίες για αρχάριους και διευθυντικά στελέχη, με δυνατότητες επαγγελματικής εξέλιξης και ανάπτυξης δεξιοτήτων. Η εργασία σε αυτόν τον χώρο συμβάλλει στη βελτίωση της εμπειρίας των πελατών και την ενίσχυση της πιστότητας προς την εταιρεία.

The Customer Service and Call Center sector includes roles focused on client support, complaint resolution, and sales assistance across various industries. In Greece, this growing field offers numerous entry-level and supervisory positions with opportunities for skill development and career advancement. Working in this sector means enhancing customer experiences and building strong brand loyalty, essential for company success in competitive markets.

Ο τομέας «Άλλο» περιλαμβάνει ποικίλες ευκαιρίες απασχόλησης που δεν εντάσσονται σε παραδοσιακές κατηγορίες, καλύπτοντας αναδυόμενους κλάδους και εξειδικευμένους ρόλους σε διαφορετικούς τομείς. Προσφέρει ευέλικτες επιλογές καριέρας για επαγγελματίες που αναζητούν μοναδικές θέσεις ή θέλουν να αναπτύξουν διεπιστημονικές δεξιότητες. Η εργασία σε αυτόν το χώρο μπορεί να οδηγήσει σε καινοτόμες εμπειρίες και επαγγελματική ανάπτυξη σε ανεξερεύνητες, αλλά πολλά υποσχόμενες αγορές στην Ελλάδα.

The 'Other' sector includes a variety of diverse job opportunities that do not fit traditional categories, ranging from emerging industries to niche roles across different fields. This sector offers flexible career paths for professionals seeking unique positions or exploring interdisciplinary skills. Working in this area can lead to innovative experiences and the chance to grow in less conventional but promising markets in Greece.

Ο τομέας των Μεταφορών περιλαμβάνει επαγγέλματα σε τομείς όπως η εφοδιαστική αλυσίδα, η μεταφορά εμπορευμάτων και επιβατών, καθώς και η διαχείριση υποδομών. Στην Ελλάδα, ο κλάδος αυτός είναι ζωτικής σημασίας για το εμπόριο και την κινητικότητα, προσφέροντας θέσεις από οδηγούς και τεχνικούς έως διευθυντές logistics. Με τις αυξανόμενες επενδύσεις σε υποδομές και βιώσιμες λύσεις μεταφοράς, υπάρχουν πολλές ευκαιρίες ανάπτυξης καριέρας.

The Transportation sector includes careers in logistics, freight, passenger transport, and infrastructure management. In Greece, this sector is vital for supporting both domestic and international trade, offering roles ranging from drivers and engineers to supply chain managers. With increasing investment in infrastructure and sustainable transport solutions, job seekers can find growth opportunities in a rapidly evolving industry.

Ο τομέας Εργατών περιλαμβάνει ποικίλους ρόλους σε κατασκευές, βιομηχανία, logistics και συντήρηση σε όλη την Ελλάδα. Προσφέρει σταθερές ευκαιρίες απασχόλησης με δυνατότητες ανάπτυξης δεξιοτήτων και καριέρας σε κλάδους που αποτελούν τη ραχοκοκαλιά της εθνικής οικονομίας. Οι υποψήφιοι μπορούν να βρουν θέσεις εργασίας σε εργοτάξια, εργοστάσια και αποθήκες, συμβάλλοντας ουσιαστικά στην ανάπτυξη υποδομών και βιομηχανίας.

The Workers / Laborers sector includes a wide range of roles in construction, manufacturing, logistics, and maintenance across Greece. This field offers steady employment opportunities with possibilities for skill development and career advancement in industries fundamental to the national economy. Job seekers can find positions in building sites, factories, and warehouses, contributing significantly to infrastructure and industrial growth.

Ο τομέας της Αισθητικής και Κομμωτηρίου προσφέρει ευκαιρίες απασχόλησης σε υπηρεσίες ομορφιάς, κομμώσεις, περιποίηση δέρματος και ευεξία. Στην Ελλάδα, η αυξανόμενη ζήτηση για εξειδικευμένους επαγγελματίες σε κομμωτήρια, ινστιτούτα αισθητικής και εταιρείες καλλυντικών δημιουργεί προοπτικές εξέλιξης και δημιουργικής εργασίας. Μια καριέρα σε αυτόν τον χώρο συμβάλλει στην ενίσχυση της αυτοπεποίθησης και της ευζωίας των πελατών.

The Aesthetics and Hairdressing sector offers rewarding careers in beauty services, hair styling, skincare, and wellness treatments. This industry in Greece is expanding with increasing demand for skilled professionals in salons, spas, and cosmetic brands, providing career advancement and opportunities to work creatively. Pursuing a career here means making a positive impact on clients' confidence and well-being.

Ο τομέας της Γραμματειακής Υποστήριξης περιλαμβάνει ρόλους όπως βοηθούς διοίκησης, υπεύθυνους γραφείου και διοικητικούς συντονιστές, απαραίτητους σε πολλούς κλάδους στην Ελλάδα. Προσφέρει σταθερές προοπτικές καριέρας με δυνατότητες ανάπτυξης οργανωτικών και επικοινωνιακών δεξιοτήτων. Η εργασία σε αυτόν τον τομέα είναι κλειδί για την ομαλή λειτουργία επιχειρήσεων και γραφείων.

The Secretarial Support sector includes roles such as executive assistants, office managers, and administrative coordinators, vital across various industries in Greece. This field offers steady career growth with opportunities to develop organizational, communication, and multitasking skills. Working in secretarial support provides a gateway to corporate environments and plays a key role in ensuring efficient business operations.

Ο τομέας των Επαγγελμάτων Υγείας περιλαμβάνει θέσεις όπως γιατροί, νοσηλευτές, τεχνολόγοι ιατρικών εργαστηρίων και διοικητικά στελέχη υγείας. Στην Ελλάδα, αυτές οι ειδικότητες είναι κρίσιμες για την παροχή ποιοτικής φροντίδας και την βελτίωση της δημόσιας υγείας. Ο τομέας προσφέρει σταθερότητα στην απασχόληση, δυνατότητες εξειδίκευσης και διαρκή επαγγελματική ανάπτυξη χάρη στις εξελίξεις στην ιατρική τεχνολογία και τις πολιτικές υγείας.

The Healthcare Professions sector includes a wide range of jobs such as doctors, nurses, medical technicians, and health administrators. In Greece, these roles are vital for delivering quality patient care and improving public health outcomes. This sector offers strong career stability, opportunities for specialization, and continuous professional growth in response to evolving medical technologies and healthcare policies.

Ο τομέας της Διοίκησης Επιχειρήσεων περιλαμβάνει ποικίλες θέσεις σε διαχείριση, ανθρώπινους πόρους, οικονομικά και μάρκετινγκ σε διαφορετικούς κλάδους. Στην Ελλάδα, προσφέρει ελκυστικές ευκαιρίες εξέλιξης σε νεοφυείς επιχειρήσεις, πολυεθνικές εταιρείες και δημόσιο τομέα. Η ανάπτυξη δεξιοτήτων, η ηγεσία και οι στρατηγικές αποφάσεις αποτελούν βασικά στοιχεία, καθιστώντας τον τομέα ιδανικό για όσους επιδιώκουν δυναμική και επιδραστική επαγγελματική πορεία.

The Business Administration sector covers a wide range of roles including management, human resources, finance, and marketing across various industries. In Greece, this sector offers promising career paths with opportunities for advancement in startups, multinational companies, and public organizations. Skill development, leadership growth, and strategic decision-making are key aspects, making it a valuable choice for professionals seeking dynamic and impactful careers.

Ο τομέας του Ανθρώπινου Δυναμικού καλύπτει την πρόσληψη, εκπαίδευση και διαχείριση ταλέντων σε διάφορους κλάδους στην Ελλάδα. Θέσεις εργασίας όπως ειδικοί προσέλκυσης ταλέντων, διευθυντές HR και σύμβουλοι οργανωτικής ανάπτυξης προσφέρουν σημαντικές προοπτικές εξέλιξης, καθώς οι επιχειρήσεις δίνουν έμφαση στην εμπλοκή των εργαζομένων και την εταιρική κουλτούρα. Απασχόληση στον τομέα αυτό σημαίνει να συμβάλλεις στην επιτυχία των οργανισμών και σε ένα θετικό εργασιακό περιβάλλον.

The Human Resources sector plays a vital role in recruiting, training, and managing talent across various industries in Greece. Careers in HR include roles such as talent acquisition specialists, HR managers, and organizational development experts, offering strong growth prospects as companies emphasize employee engagement and workplace culture. Working in HR allows professionals to impact organizational success and foster a positive work environment.

Ο τομέας Φροντίδας Κτιρίων και Σπιτιών περιλαμβάνει εργασίες καθαρισμού, συντήρησης, επισκευών και διαχείρισης ακινήτων σε οικιακούς και επαγγελματικούς χώρους. Στην Ελλάδα, η αύξηση της αστικής ανάπτυξης ενισχύει τη ζήτηση για ποιοτική φροντίδα κτιρίων, δημιουργώντας ευκαιρίες απασχόλησης. Η καριέρα στον τομέα αυτό προσφέρει σταθερότητα και δυνατότητες εξειδίκευσης σε τομείς όπως ο κλιματισμός, η υδραυλική ή υπηρεσίες καθαρισμού, συμβάλλοντας σε πιο ασφαλή και λειτουργικά περιβάλλοντα κατοικίας.

The Building and House Care sector includes jobs in cleaning, maintenance, repair, and property management services for residential and commercial buildings. In Greece, this sector offers growing opportunities due to increased urban development and the demand for quality building upkeep. Careers in this field provide stable work with potential for specialization in areas like HVAC, plumbing, or janitorial services, contributing to safer and well-maintained living environments.

Ο τομέας του Marketing προσφέρει ποικίλες ευκαιρίες καριέρας στον ψηφιακό μάρκετινγκ, τη διαχείριση επωνυμίας, τη δημιουργία περιεχομένου και την έρευνα αγοράς. Επιχειρήσεις στην Ελλάδα επενδύουν όλο και περισσότερο στη διαδικτυακή διαφήμιση και τις στρατηγικές κοινωνικών μέσων, δημιουργώντας ζωντανές ευκαιρίες εργασίας για δημιουργικούς επαγγελματίες. Αυτός ο κλάδος προσφέρει σημαντικές δυνατότητες ανάπτυξης, επιτρέποντας στους ειδικούς να επηρεάσουν κρίσιμα την επιτυχία και τη δέσμευση των καταναλωτών.

The Marketing sector offers diverse career paths in digital marketing, brand management, content creation, and market research. Companies across Greece are increasingly investing in online advertising and social media strategies, creating vibrant job opportunities for creative professionals. This field provides ample growth potential, allowing specialists to impact business success and consumer engagement effectively.

Ο τομέας του Προσωπικού Ασφαλείας περιλαμβάνει σημαντικές θέσεις που προστατεύουν άτομα, περιουσίες και επιχειρήσεις σε διάφορους κλάδους όπως εταιρείες, εκδηλώσεις, λιανικό εμπόριο και δημόσιο τομέα. Οι επαγγελματίες μπορούν να εργαστούν ως φύλακες, επικεφαλής ομάδων ή σε εξειδικευμένους ρόλους αξιολόγησης κινδύνου και αντιμετώπισης εκτάκτων αναγκών. Με την αυξανόμενη ανάγκη για ασφάλεια στην Ελλάδα, ο τομέας προσφέρει σταθερή απασχόληση και προοπτικές εξέλιξης.

The Security Personnel sector offers vital roles in protecting people, property, and assets across various industries including corporate, events, retail, and government. Careers range from security guards and supervisors to specialized roles in risk assessment and emergency response. With rising security concerns globally and in Greece, this sector provides stable employment and opportunities for advancement in private and public sectors.

Ο τομέας της Μηχανοκίνησης περιλαμβάνει καριέρες στην κατασκευή, πώληση, συντήρηση και σχεδιασμό οχημάτων. Στην Ελλάδα, οι επαγγελματίες μπορούν να βρουν ευκαιρίες ως μηχανικοί αυτοκινήτων, τεχνικοί, ειδικοί πωλήσεων και διευθυντές υπηρεσιών. Ο κλάδος παρουσιάζει σταθερή ανάπτυξη χάρη στην τεχνολογική προόδο, όπως τα ηλεκτρικά οχήματα και τα έξυπνα συστήματα, καθιστώντας τον ελκυστικό για όσους ενδιαφέρονται για καινοτομία και πρακτική εργασία.

The Automotive sector includes careers in vehicle manufacturing, sales, maintenance, and design. In Greece, professionals can find opportunities ranging from automotive engineers and technicians to sales experts and service managers. This industry offers steady growth driven by technological advancements like electric vehicles and smart automotive systems, making it an exciting field for those interested in innovation and hands-on work.

Ο τομέας της Αγροτικής Παραγωγής περιλαμβάνει εργασίες στη γεωργία, τη διαχείριση καλλιεργειών, την κτηνοτροφία και τις βιώσιμες γεωργικές πρακτικές. Στην Ελλάδα, αυτός ο τομέας αποτελεί βασική οικονομική δραστηριότητα και προσφέρει ευκαιρίες για εργασία με σύγχρονες τεχνολογίες, βιολογική γεωργία και αλυσίδες εφοδιασμού τροφίμων. Η επαγγελματική ανάπτυξη είναι ελπιδοφόρα για όσους εστιάζουν στην καινοτομία και τη βιωσιμότητα.

The Agricultural Production sector includes jobs in farming, crop management, livestock care, and sustainable agriculture practices. In Greece, this sector is vital for the economy and offers opportunities to work with modern technologies, organic farming, and food supply chains. Career growth is promising for individuals focused on innovation and environmental sustainability in agriculture.

Ο τομέας Τέχνες και Πολιτισμός προσφέρει πλούσιες ευκαιρίες καριέρας σε τομείς όπως οι εικαστικές τέχνες, η μουσική, το θέατρο, η διαχείριση πολιτιστικής κληρονομιάς και η οργάνωση πολιτιστικών εκδηλώσεων. Η πλούσια ιστορική και καλλιτεχνική κληρονομιά της Ελλάδας δημιουργεί ένα ζωντανό περιβάλλον για δημιουργικούς επαγγελματίες, με αυξανόμενη ζήτηση σε μουσεία, γκαλερί, θεατρικές παραγωγές και πολιτιστικό τουρισμό. Αυτός ο τομέας προσφέρει την ευκαιρία να συμβάλλετε στη διατήρηση της πολιτισμικής ταυτότητας, εξελίσσοντας παράλληλα τις δεξιότητές σας.

The Arts and Culture sector offers enriching career opportunities in fields such as visual arts, music, theater, heritage management, and cultural event planning. Greece's rich historical and artistic heritage provides a vibrant environment for creatives, with growing demand for professionals in museums, galleries, performing arts, and cultural tourism. This sector allows individuals to contribute to preserving cultural identity while exploring diverse roles with meaningful personal and professional growth.

Ο τομέας των Νομικών Υπηρεσιών περιλαμβάνει ποικίλες επαγγελματικές ευκαιρίες όπως δικηγόρους, νομικούς συμβούλους, παρασκευαστές και υπεύθυνους συμμόρφωσης. Το αναπτυσσόμενο νομικό περιβάλλον στην Ελλάδα δημιουργεί ζήτηση για ειδικούς σε εταιρικό δίκαιο, αστικά δικαιώματα και διεθνείς κανονισμούς. Η εργασία σε αυτόν τον τομέα προσφέρει προοπτικές εξέλιξης, πνευματική πρόκληση και την ευκαιρία να συμβάλλετε στην κοινωνία μέσω της δικαιοσύνης και της νομικής υποστήριξης.

The Legal Services sector offers a variety of career paths including roles such as lawyers, legal advisors, paralegals, and compliance officers. Greece's evolving legal landscape creates a demand for professionals skilled in corporate law, civil rights, and international regulations. Working in this sector provides opportunities for professional growth, intellectual challenge, and the chance to impact society through justice and legal support.

Ο τομέας Φροντίδας Ενηλίκων και Παιδιών καλύπτει επαγγέλματα στην παροχή φροντίδας, την προσχολική εκπαίδευση και την υποστήριξη οικογενειών και ευάλωτων ομάδων. Στην Ελλάδα, η αυξανόμενη ζήτηση για παιδαγωγούς, βοηθούς φροντίδας ηλικιωμένων και ειδικούς φροντιστές δημιουργεί πολλαπλές επαγγελματικές ευκαιρίες με προοπτικές εξέλιξης. Η εργασία σε αυτόν τον τομέα προσφέρει ουσιαστική συμβολή στην κοινωνία και δυνατότητα εξειδίκευσης.

The Adult and Child Care sector includes careers in caregiving, early childhood education, and support services for families and vulnerable populations. In Greece, this growing field offers roles such as childcare providers, elderly care assistants, and special needs caregivers, with increasing demand due to demographic changes. Working in this sector means making a meaningful impact while enjoying diverse opportunities for professional growth and specialization.

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The Director, AI Quality Engineering Lead ensures that AI systems across the enterprise are safe, fair, reliable, compliant, and observable from pre‑release through continuous operations. This role designs and operates enterprise evaluation frameworks (quality, bias/fairness, robustness, privacy), leads red‑teaming and guardrail development, encodes policy and regulatory requirements as automated checks, and drives metric reporting and post‑incident learning across AI programs. The lead partners closely with Enterprise Architecture, Compliance, Legal/Privacy, Security, Data Governance, and product/engineering teams to enforce quality and safety gates and enable responsible scale. (Aligned to Corporate Policy and Responsible AI principles.) Reporting into the Head of Applied AI Engineering, you will manage a team of QA Engineers and AI Engineers. This role blends deep technical leadership, product engineering strategy, and direct enablement of enterprise use cases and services. You will partner closely with business, legal and technical stakeholders to design and deliver robust, scalable solutions that demonstrate the value of AI across our enterprise in a safe and compliant way. This role is execution-oriented with strong influence on building AI solutions responsibly.Evaluation and Test Strategy<ul><li>Define and run evaluation frameworks for LLMs and multi-modal systems covering performance, fairness, bias, robustness, safety, and privacy.</li><li>Build automatic + human-in-the-loop evaluation pipelines with reproducible scoring, statistical significance, and error analysis.</li><li>Establish SLOs/SLIs for quality (e.g., grounded accuracy, hallucination rate, privacy leak rate, harmful-content rate).</li></ul>Red-Teaming &amp; Safety Guardrails<ul><li>Design and run red-teaming against prompt injection, jailbreaks, sensitive data leakage, tool-abuse, and retrieval abuse.</li><li>Develop guardrail solutions (classification, content safety, PII/PHI detection, grounding checks, allow/deny lists, rate limiting, output filtering) to mitigate hallucinations, leakage, and compliance violations.</li><li>Maintain attack libraries and scenario banks; simulate adversarial behavior and monitor adaptive attacks over time.</li></ul>Pre‑Release Gating &amp; Continuous Assurance<ul><li>Operate pre‑release evaluation gates with baselines, regression checks, canary/A–B testing, and rollback criteria.</li><li>Run continuous evaluation in production with synthetic &amp; real traffic (shadow/ghost testing) and drift, bias, and toxicity monitoring.</li></ul>Stakeholder Leadership &amp; Culture<ul><li>Coach product teams on responsible AI practices and establish quality ownership norms.</li><li>Build a community of practice across Engineering, Security, Data Governance, and Risk—standardizing test data, benchmarks, and review rituals.</li><li>Mentor engineers building evaluation, red-team, and guardrail capabilities.</li></ul>BASIC QUALIFICATIONS<ul><li>7+ years in ML/AI/Platform/Quality roles, including 3+ years evaluating production systems.</li><li>Advanced degree in Computer Science, Engineering or related discipline.</li><li>Proven design &amp; operation of evaluation harnesses and policy-as-code checks in CI/CD.</li><li>Hands-on Python and expertise with evaluation and safety tooling such as: OpenAI Evals, Ragas/LangSmith, DeepEval, Azure AI Content Safety / OpenAI Moderation, Presidio, Guardrails.ai, Nemo, MLFlow, Grafana, Kibana, Azure monitor</li><li>Cloud &amp; MLOps: Azure/AWS, CI/CD (GitHub Actions/Azure DevOps, feature stores, vector DBs (Azure AI Search, OpenSearch, Pinecone), testing in pipelines.</li><li>Excellent communication with executives and engineers</li><li>Experience leading an engineering team.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Led an AI safety/quality function or enterprise red-team program.</li><li>Prior work with AI based applications, tool use/orchestration, and enterprise data governance.</li><li>Regulatory literacy (e.g., GDPR, EU AI Act readiness), and experience collaborating with Compliance/Risk, Security, and Legal.</li><li>Strong grasp of red-team techniques (prompt/indirect injection, jailbreaks, training data extraction, membership inference, model poisoning, tool abuse).</li><li>Experience with retrieval grounding checks, memory governance, and multi-tenant safety controls.</li></ul>

Director, AI Quality Engineering Lead 4946565

As an AI Solution Engineer, you will be a senior technical contributor within the AI Architecture &amp; Solution Design department, supporting the design and delivery of AI-powered business products and reusable capabilities. You will work closely with Embedded AI Solution Architects and the Enterprise AI Capability Design Team to produce solution designs, artefacts, and SDK components that accelerate adoption and scale.This role is designed as a growth path toward AI Solution Architect. You will blend skills in software engineering, system design, AI engineering, and cloud architecture—not as an expert in all domains, but as a versatile engineer eager to deepen expertise across them. You will contribute to end-to-end solution design for less complex products, assist architects on high-impact initiatives, and help design modular SDK components for enterprise reuse. Over time, you will develop the ability to produce full solution blueprints and guide development teams independently.Why this Role MattersAI Solution Engineers are the scaling force behind architecture excellence. By supporting architects and taking ownership of smaller designs, you enable the department to deliver robust, composable, and future-proof AI solutions at speed. You also form the talent pipeline for next-generation AI Solution Architects, ensuring continuity and growth of architectural capability across the enterprise.ROLE RESPONSIBILITIES1) Solution Design Support<ul><li>Partner with Embedded AI Solution Architects to design solution architectures for prioritized business products; assist in producing artefacts such as:<ul><li>System Context Diagrams</li><li>Data Flow Diagrams</li><li>Entity-Relationship Models</li><li>DB Schema/Relationship Designs</li><li>Sequence Diagrams</li><li>Integration Contracts and ADRs</li></ul></li><li>Support end-to-end design readiness: evaluation coverage, observability plans, security/privacy considerations, documentation completeness, cost optimization and AI workloads resource planning.</li></ul>2) Ownership of Less Complex Designs<ul><li>Act as Solution Designer for smaller or less complex products, producing implementation-ready blueprints aligned to department standards.</li><li>Ensure designs are modular, reusable, and aligned with enterprise architecture principles; maximize leverage of SDKs, modules, and platform services.</li></ul>3) SDK &amp; Capability Contribution<ul><li>Collaborate with the Enterprise AI Capability Design Team to design and implement SDK components and modules for common AI patterns (e.g., RAG, document intelligence, agentic workflows).</li><li>Contribute to API design, integration guides, and code samples; ensure parity between SDK and service implementations.</li></ul>4) Growth &amp; Skill Development<ul><li>Engage in a structured apprenticeship program with rotation opportunities across Embedded Architecture and Capability Design teams to grow platform, technology and tools knowledge.</li><li>Build proficiency in system design, AI engineering, cloud-native architecture, and evaluation frameworks; progressively take on more complex design ownership.</li><li>Participate in design reviews, retrospectives, and knowledge-sharing sessions to accelerate learning.</li></ul>5) Documentation &amp; Knowledge Management<ul><li>Produce clear, complete artefacts for all assigned designs; adhere to documentation standards defined by Technical Writers and Operations Excellence.</li><li>Contribute to pattern libraries and exemplars; ensure designs are indexed and discoverable for reuse.</li></ul>6) Cross-Team Collaboration<ul><li>Work closely with AI Architects, Solution Designers, Software Engineers, and DevOps Engineers to ensure seamless handoff from design to implementation.</li><li>Partner with Platform team on service boundaries, observability, and security readiness for designs that require managed services.</li></ul>MEASURES OF SUCCESS<ul><li>Design quality and completeness: Artefacts meet standards; fewer gaps at architecture review.</li><li>Delivery impact: Assigned designs implemented successfully; reduced rework and improved time-to-first-value.</li><li>Reuse and alignment: Designs leverage SDKs/modules and platform services; minimal bespoke components.</li><li>Skill progression: Demonstrated growth toward AI Solution Architect readiness; positive feedback from mentors and rotation leads.</li><li>Collaboration effectiveness: Strong partner feedback from architects, engineers, and product teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>5+ years in software engineering or solution design roles, with exposure to system architecture, cloud-native development, and AI/ML integration.</li><li>Strong proficiency in modern programming languages (e.g., Python, Java, or similar) and familiarity with API design and integration patterns.</li><li>Working knowledge of cloud platforms (Azure, AWS, or GCP) and associated services for compute, storage, and security.</li><li>Ability to produce architecture artefacts (diagrams, ADRs, integration specs) and communicate design decisions clearly.</li><li>Demonstrated growth mindset and willingness to develop expertise across AI engineering, system design, and architecture.</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and GenAI/LLM ecosystems (prompt engineering, RAG, vector databases, agent frameworks).</li><li>Familiarity with CI/CD pipelines, observability tooling, and security-by-design principles.</li><li>Exposure to enterprise architecture standards and regulated environments (healthcare, pharma, finance).</li><li>Hands-on experience with data modeling, evaluation frameworks, and performance tuning for AI workloads.</li></ul>

Manager, AI Solution Engineer 4949153

As Manager, Software Engineer (Individual Contributor), you will contribute to the design and development of modular AI capabilities within the Enterprise AI Capability Design Team. Your focus will be on implementing SDK components, interfaces, and supporting modules that enable internal teams and the broader community to integrate AI capabilities seamlessly into applications. You will work under the guidance of senior engineers and architects, gaining exposure to API design, modular architecture, and cloud-native development while progressively taking ownership of components.You will collaborate closely with:<ul><li>Embedded AI Architecture Team and Solution Design Team to ensure SDK interfaces align with real-world solution patterns.</li><li>AI Engineering Team for PI increments and integration of external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) to capture feedback and improve usability.</li></ul>This role is designed for engineers with strong software development experience and a growth mindset, eager to deepen expertise in AI engineering, system design, and SDK architecture.Why this Role MattersManager-level Software Engineers are the builders and maintainers of our AI capability SDK. By delivering well-structured, tested, and documented components, you enable reuse, scalability, and developer experience excellence—critical for accelerating AI adoption across the enterprise.ROLE RESPONSIBILITIES1) SDK Component Development<ul><li>Implement modular SDK components for AI capabilities, including:<ul><li>RAG pipeline elements (parsers, chunkers, enrichers, retrievers, connectors)</li><li>Agent and tool cookiecutters with MCP adaptors</li><li>Interfaces for community-driven extensions</li></ul></li><li>Ensure code adheres to software quality standards for reusability, maintainability, security, readability, and versioning.</li></ul>2) Testing &amp; Quality Assurance<ul><li>Write unit and integration tests for SDK components; collaborate with QA engineers to ensure coverage at various levels (statement / branch / function etc…).</li><li>Integrate logging, metrics, and tracing into SDK components to support observability and troubleshooting.</li><li>Participate in code reviews and maintain compliance with coding standards and security guidelines.</li><li>Contribute to benchmarking and performance validation for new modules.</li></ul>3) Documentation &amp; Developer Experience<ul><li>Produce clear API documentation, usage guides, and code samples for assigned components.</li><li>Support Developer Experience engineers in creating quickstarts and integration guides.</li><li>Ensure documentation aligns with Confluence structure and department standards.</li></ul>4) Collaboration &amp; Continuous Improvement<ul><li>Work closely with Senior Manager, Software Engineer and AI Capability Architecture Lead for design guidance and technical reviews.</li><li>Partner with Embedded AI Architects and Solution Designers to validate SDK interfaces against solution patterns.</li><li>Engage with AI Engineering Team to integrate external technologies and align on PI increments.</li></ul>5) Growth &amp; Skill Development<ul><li>Build proficiency in cloud-native architecture, AI integration patterns, and modular SDK design.</li><li>Participate in knowledge-sharing sessions, retrospectives, and enablement forums.</li><li>Progressively take ownership of more complex components and contribute to architectural discussions.</li></ul>MEASURES OF SUCCESS<ul><li>Component quality: Code meets standards for modularity, maintainability, and performance.</li><li>Testing coverage: High unit/integration test coverage; minimal defects post-release.</li><li>Documentation completeness: Clear API docs, usage guides, and samples delivered with each component.</li><li>Collaboration effectiveness: Positive feedback from senior engineers, architects, and consuming teams.</li><li>Skill progression: Demonstrated growth toward senior-level responsibilities and architectural contributions.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>5+ years in software engineering roles with experience in API development and modular design.</li><li>Proficiency in Python (required) and familiarity with Java or TypeScript.</li><li>Experience with cloud platforms (Azure, AWS, or GCP)and containerized environments.</li><li>Strong understanding of CI/CD pipelines, automated testing, and code quality practices.</li><li>Ability to produce clear documentation and developer-friendly code samples.</li><li>Proficiency in Git-based workflows (feature branches, PR reviews, semantic versioning)</li></ul>Preferred Qualifications<ul><li>Exposure to AI/ML frameworks (PyTorch, TensorFlow) and GenAI/LLM ecosystems (RAG, vector databases, agent frameworks).</li><li>Contribution to open-source projects and/or community-driven extensions.</li><li>Understanding of observability and security-by-design principles.</li><li>Experience with performance tuning and benchmarking for SDK components.</li></ul>

Manager, Software Engineer 4949164 

As Manager, Technical Writer (Individual Contributor), you will serve as the senior technical writing expert within the AI Architecture &amp; Solution Design department. Your mission is to define and uphold documentation standards and structure for SDKs, modules, and solution patterns, ensuring clarity, consistency, and discoverability across all artefacts. You will work closely with AI Architects, Solution Designers, and Operations Excellence to make documentation a first-class enabler of adoption and reuse.You will lead by expertise, not direct management—acting as the bar-raiser for technical writing quality and mentoring junior writers informally. Beyond documentation, you will contribute to knowledge surfacing and enablement, including indexing solution patterns and supporting tools (e.g., intelligent agents) that help teams find the right SDK or design quickly. You will also play a supporting role in operations feedback, ensuring documentation standards enable operationalizing the SDK and AI Solution patterns across Creation Centers and digital teams.Why this Role MattersDocumentation is the gateway to adoption and reuse. Without clear, indexed, and actionable artefacts, even the best AI capabilities and solution patterns fail to scale. This role ensures that every SDK, module, and architecture pattern is discoverable, understandable, and implementable, reducing bespoke engineering and accelerating time to value.ROLE RESPONSIBILITIES1) Documentation Standards &amp; Structure<ul><li>Define and maintain documentation standards for SDKs, modules, and solution patterns, including required sections (overview, usage, integration steps, evaluation notes, security/privacy considerations).</li><li>Establish and enforce Confluence structure for indexing and surfacing artefacts; ensure logical hierarchy, tagging, and cross-linking for easy navigation.</li><li>Create templates and style guides for architecture artefacts, release notes, and design exemplars; ensure consistency across teams.</li></ul>2) SDK &amp; Module Documentation<ul><li>Partner with Enterprise AI Capability Design Team and community contributors to produce clear, developer-friendly documentation for SDKs and modules.</li><li>Ensure documentation includes code samples, quickstarts, integration guides, and troubleshooting tips; maintain parity between SDK and service documentation.</li><li>Validate documentation completeness during release readiness checks; track gaps and drive remediation.</li></ul>3) Solution Pattern Indexing &amp; Enablement<ul><li>Curate and document solution patterns with supporting material on “when, why, and how” to use them; collaborate with Solution Designers and AI Architects for accuracy.</li><li>Build and maintain a searchable index of patterns and exemplars; ensure discoverability across Confluence and internal portals.</li><li>Contribute to enablement tools (e.g., intelligent agents) that recommend patterns and modules based on user needs, linking back to documentation and design artefacts.</li></ul>4) Operational Feedback &amp; Continuous Improvement<ul><li>Support operations management activities: observe how documentation standards are applied by Creation Centers and digital teams; capture feedback and propose improvements.</li><li>Participate in retrospectives and process reviews; adjust documentation structure and templates to maximize adoption and usability.</li><li>Ensure documentation supports auditability for compliance, security, and governance requirements.</li></ul>5) Informal Mentorship &amp; Expertise<ul><li>Act as the senior technical writing authority; mentor junior writers informally and provide guidance on complex documentation challenges.</li><li>Promote knowledge sharing and best practices across the department; run documentation clinics and learning sessions.</li></ul>MEASURES OF SUCCESS<ul><li>Documentation completeness and quality: SDKs/modules and solution patterns meet standards; fewer gaps at release readiness.</li><li>Discoverability and adoption: Increased usage of indexed patterns and SDK documentation; positive feedback from consuming teams.</li><li>Operational alignment: Documentation standards consistently applied across Creation Centers; feedback loop drives continuous improvement.</li><li>Enablement impact: Intelligent tools and indexing reduce time to find relevant patterns and modules.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>5+ years in technical writing or documentation roles within software development environments.</li><li>Proven ability to define and enforce documentation standards and structures for complex technical artefacts.</li><li>Strong familiarity with software development lifecycle, APIs, SDKs, and integration patterns; ability to translate technical concepts into clear, actionable content.</li><li>Ability to interpret system diagrams (Data Flow, Sequence Diagrams) and translate them into clear documentation</li><li>Excellent communication and organizational skills; adept at managing multiple priorities and stakeholders.</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML or GenAI projects; understanding of common patterns (RAG, agentic workflows, evaluation frameworks).</li><li>Hands-on experience with Confluence or similar knowledge management platforms; ability to design logical structures and indexing strategies.</li><li>Background in software engineering (as a developer or technical contributor) is a strong plus.</li><li>Familiarity with CI/CD pipelines, version control, and release documentation practices.</li><li>Experience with markup languages (Markdown) and API documentation standards (OpenAPI/Swagger) is a plus</li><li>Exposure to regulated environments (healthcare, pharma, finance) and audit-ready documentation standards.</li></ul>

Manager, Technical Writer 4949154

As Senior Associate, Technical Writer, you will play a critical role in creating and maintaining clear, accurate, and developer-friendly documentation for AI capabilities, SDKs, modules, and solution patterns within the AI Architecture &amp; Solution Design department. You will work closely with AI Architects, Solution Designers, and Software Engineers to ensure that technical artefacts are well-structured, discoverable, and actionable for internal product teams.Your responsibilities include producing documentation for SDKs and modules (including those contributed by the community), indexing solution patterns with supporting material, and ensuring consistency with established standards. You will also contribute to knowledge surfacing and enablement, helping build tools and processes that make documentation easy to find and use. Additionally, you will support basic operations management activities, gaining exposure to how documentation standards are operationalized across Creation Centers and digital teams.Why this Role MattersDocumentation is the foundation for reuse and adoption of AI capabilities. This role ensures that every SDK, module, and solution pattern is understandable, discoverable, and ready for implementation, reducing friction and accelerating delivery across the enterprise.ROLE RESPONSIBILITIES1) Documentation Development<ul><li>Create and maintain high-quality documentation for SDKs, modules, and solution patterns, including usage guides, integration steps, evaluation notes, and troubleshooting tips.</li><li>Work with community contributors to improve documentation quality for externally developed components; ensure alignment with internal standards.</li><li>Produce code samples, quick-starts, and developer guides to accelerate adoption.</li></ul>2) Structure &amp; Indexing<ul><li>Apply established Confluence structure and tagging standards to ensure documentation is logically organized and easily searchable.</li><li>Index solution patterns with supporting material on “when, why, and how” to use them, based on guidance from Solution Designers and AI Architects.</li><li>Maintain cross-links between SDK documentation, solution patterns, and related design artefacts.</li></ul>3) Enablement &amp; Knowledge Surfacing<ul><li>Contribute to enablement tools (e.g., intelligent agents) that help teams identify the right solution pattern or module and surface relevant documentation.</li><li>Support creation of pattern libraries and exemplars for reuse across product teams.</li></ul>4) Operational Support &amp; Feedback<ul><li>Assist in basic operations management tasks (e.g., readiness checks, documentation audits, feedback collection) to understand how standards are applied in real-world delivery.</li><li>Capture feedback from Creation Centers and digital teams; propose improvements to documentation templates and structure.</li></ul>5) Collaboration &amp; Continuous Improvement<ul><li>Work closely with AI Architecture Operations Lead and Manager, Technical Writer to uphold documentation standards and templates.</li><li>Partner with AI Capability Architecture Lead and Embedded AI Architecture Lead to ensure documentation reflects technical realities and design intent.</li><li>Participate in retrospectives and process reviews; contribute ideas to improve documentation quality and adoption.</li></ul>MEASURES OF SUCCESS<ul><li>Documentation completeness and quality: SDKs/modules and solution patterns meet standards; fewer gaps at release readiness.</li><li>Discoverability and adoption: Increased usage of indexed documentation and positive feedback from consuming teams.</li><li>Operational alignment: Documentation standards consistently applied; feedback loop drives continuous improvement.</li><li>Enablement impact: Improved ability for teams to find and use solution patterns and SDKs quickly.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>3+ years in technical writing or documentation roles within software development environments.</li><li>Strong ability to produce clear, structured, and developer-friendly content for APIs, SDKs, and integration patterns.</li><li>Familiarity with software development lifecycle and ability to collaborate effectively with engineers and architects.</li><li>Excellent organizational and communication skills; attention to detail and consistency.</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML or GenAI projects; understanding of common patterns (RAG, agentic workflows, evaluation frameworks).</li><li>Hands-on experience with Confluence or similar knowledge management platforms.</li><li>Background in software engineering or prior experience as a developer is a strong plus.</li><li>Familiarity with CI/CD pipelines, version control, and release documentation practices.</li><li>Exposure to regulated environments and audit-ready documentation standards.</li></ul>&nbsp;

Senior Associate, Technical Writer 4949155

As Senior Manager, DevOps Engineer (Individual Contributor), you will be the build, release, and reliability backbone for our Python SDK—a pip-installable package that provides reusable, modular AI capabilities (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design automated pipelines that enforce code quality, security, reproducibility, benchmarking, and integration tests for the SDK and ensure compatibility and operability for platform services that consume it.You’ll collaborate closely with:<ul><li>Embedded AI Architecture &amp; Solution Design to prioritize capabilities and validate interfaces against real solution patterns.</li><li>AI Engineering to align PI increments and integrate external technologies into the SDK.</li><li>Digital Creation Centers &amp; Forward Impact Teams (FITs) as consumers of the SDK in products/services, capturing feedback to refine release ergonomics.</li><li>Evaluation &amp; QA, Developer Experience, and LLMOps &amp; AI Integration engineers to make quality and operability automatic.</li></ul>Why this Role MattersFor a Python SDK to scale safely, we need rock‑solid packaging, dependency hygiene, and CI/CD: reproducible builds, secure artifacts, versioning discipline, and automated tests/benchmarks that guard against regressions. Your work turns modular capabilities into enterprise‑grade libraries that downstream services can rely on—ensuring consistent behavior, faster time‑to‑first‑success, and audit‑ready releases.ROLE RESPONSIBILITIES1) Python Packaging, Build &amp; Distribution<ul><li>Own build and release for the SDK: wheel/sdist creation, and reproducible builds.</li><li>Enforce semantic versioning, backward compatibility checks, and changelogs; design safe migration paths (deprecation policies, compatibility shims).</li><li>Standardize artifact repositories: internal PyPI (Dev/Stage/Prod indices), package signing, and promotion workflows with automated quality gates.</li></ul>2) CI/CD for Libraries &amp; Supply Chain Security<ul><li>Design CI/CD pipelines (e.g., GitHub Actions/Azure DevOps/GitLab CI) to automate linting, type checking, unit/integration tests, coverage, and style enforcement (black/ruff/mypy/pytest).</li><li>Integrate dependency auditing and vulnerability scanning, license compliance, and SBOM generation; implement artifact signing and provenance (SLSA‑like controls).</li><li>Codify policy‑as‑code (e.g., OPA/Conftest) so releases only ship when tests, coverage, docs, and security gates pass.</li></ul>3) Benchmarking, Performance &amp; Integration Testing<ul><li>Collaborate with Evaluation &amp; QA Engineers to build benchmark harnesses for RAG components, connectors, rankers, and agent/tool modules; track latency/cost envelopes and regressions over time.</li><li>Orchestrate integration tests against common stacks (vector databases, storages, identity providers) to validate interface contracts used by platform services.</li><li>Maintain regression baselines and performance dashboards; fail builds on significant regressions.</li></ul>4) Operability for Consumers (SDK↔Service Parity)<ul><li>Embed observability hooks appropriate for libraries (structured logging, configurable metrics/traces) so services consuming the SDK can integrate telemetry consistently.</li><li>Define interface contracts and runtime configuration patterns (config schema, secrets management integration points) that downstream services must honor.</li><li>Partner with platform teams to publish service readiness guides built on SDK interfaces (env parity, retry/backoff, error models).</li></ul>5) Environments, Reproducibility &amp; Tooling<ul><li>Design isolated test environments and fixtures for data, vector stores, and external dependencies; leverage tox/pytest‑xdist for matrix runs.</li><li>Own Infrastructure-as-Code limited to test/development environments and CI runners; ensure deterministic builds and environment parity.</li><li>Optimize pipeline performance (caching wheels, parallelization) and track DORA‑style delivery metrics to continuously improve.</li></ul>6) Developer Experience &amp; Contribution Workflows<ul><li>Collaborate with Developer Experience Engineers to produce developer‑ready artifacts (quickstarts, sample apps, docs bundles generated during CI).</li><li>Standardize contribution workflows: feature branches, PR checks, mandatory tests/benchmarks/docs acceptance criteria; enable community extensions safely.</li><li>Provide CLI/tooling or cookiecutters that scaffold new SDK modules with tests, docs, and benchmark hooks prewired.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Align pipeline policies with AI Capability Architecture Lead and ensure SDK interface consistency for downstream service teams.</li><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to prioritize pipeline and release ergonomics improvements.</li><li>Lead post‑release retrospectives to reduce defects, MTTR, and onboarding friction for consuming teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in DevOps/SRE/Build &amp; Release engineering, with significant experience in Python packaging and library delivery (wheels/sdists, internal PyPI).</li><li>Expert in CI/CD for libraries (GitHub Actions/Azure DevOps/GitLab CI) and artifact management (PyPI/private indices, container registries as needed for test harnesses).</li><li>Strong hands‑on with cloud‑native development and CI runners; proficiency with IaC for build/test environments.</li><li>Proven track record implementing quality gates: automated tests, secrets management, test coverage, dependency/security scanning, SBOMs/signing, policy‑as‑code.</li><li>Experience embedding observability hooks for libraries and defining interface contracts for service consumers.</li></ul>Preferred Qualifications<ul><li>Familiarity with GenAI/LLM ecosystems (RAG pipelines, vector stores, agent/tool frameworks, MCP adaptors) and their benchmarking/testing needs.</li><li>Background in performance engineering for Python (profiling, async/concurrency, I/O, data pipelines) and managing latency/cost regressions.</li><li>Experience with open-source contribution workflows, multi‑language SDK delivery (Python primary; TypeScript/Java nice-to-have), and semantic versioning discipline.</li><li>Exposure to regulated environments and audit‑ready release documentation.</li><li>Comfortable partnering across architecture, QA, DX, LLMOps, platform, and product teams in a matrixed organization.</li></ul>

Senior Manager, DevOps 4949161

As Senior Manager, Developer Experience (DX) &amp; Community Enablement Engineer (Individual Contributor), you will be the developer-first advocate for our pip-installable AI Capabilities SDK. Your mission is to make the SDK intuitive, discoverable, and delightful to use, while enabling a thriving internal and external contribution ecosystem. You will design DX standards, build quickstarts, sample apps, and scaffolding tools, and lead community enablement programs that accelerate adoption and reduce friction.You will collaborate closely with:<ul><li>Embedded AI Architecture and Solution Design Teams to ensure SDK ergonomics align with real-world solution patterns.</li><li>AI Engineering for PI increments and integration of external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) as primary consumers, capturing feedback to improve usability.</li><li>Technical Writers, DevOps, and Evaluation &amp; QA Engineers to ensure documentation, pipelines, and quality gates support a seamless developer experience.</li></ul>Why this Role MattersEven the most powerful SDK fails without great developer experience. This role ensures our AI capabilities are easy to adopt, extend, and contribute to, reducing bespoke engineering and accelerating time-to-first-success across the enterprise. By combining DX engineering with community enablement, you create a multiplier effect for innovation and reuse.ROLE RESPONSIBILITIES1) Developer Experience Architecture<ul><li>Define DX standards for SDK ergonomics: API clarity, naming conventions, error models, configuration patterns, and backward compatibility.</li><li>Build quickstarts, sample apps, and notebooks for common AI patterns (RAG pipelines, agent workflows, tool integration).</li><li>Develop cookiecutters/CLI scaffolds that prewire tests, telemetry, and guardrails for new modules or contributions.</li></ul>2) Documentation &amp; Discoverability<ul><li>Collaborate with Technical Writers to produce developer-focused guides, tutorials, and code recipes.</li><li>Ensure API docs are complete, searchable, and versioned; integrate doc generation into CI/CD pipelines.</li><li>Maintain pattern libraries and exemplars that show “when, why, and how” to use SDK components.</li></ul>3) Community Enablement &amp; Contribution Workflows<ul><li>Design and maintain open-source-style contribution workflows: feature branches, PR checks, mandatory tests/docs, and review guidelines.</li><li>Build tooling and templates for contributors to extend SDK modules safely and consistently.</li><li>Run enablement programs (brown bags, office hours, pattern showcases) to onboard internal teams and external contributors.</li></ul>4) Feedback Loops &amp; Continuous Improvement<ul><li>Capture DX feedback from Digital Creation Centers, FITs, and community contributors; prioritize improvements in APIs, docs, and tooling.</li><li>Partner with DevOps to streamline build/release ergonomics (artifact discoverability, changelogs, migration guides).</li><li>Collaborate with Evaluation &amp; QA Engineers to surface evaluation results in developer-friendly formats (dashboards, diffs vs. baselines).</li></ul>5) Advocacy &amp; Evangelism<ul><li>Act as the voice of the developer in design reviews; ensure APIs and workflows minimize friction and cognitive load.</li><li>Promote reuse and contribution culture across the enterprise; highlight exemplars and celebrate community impact.</li><li>Partner with AI Capability Architecture Lead to align DX priorities with capability roadmap and strategic goals.</li></ul>MEASURES OF SUCCESS<ul><li>DX quality: Positive developer feedback; reduced onboarding time; faster time-to-first-success.</li><li>Adoption &amp; reuse: Increased SDK usage across products; higher contribution rates from internal teams and community.</li><li>Documentation completeness: API docs and guides consistently meet standards; discoverability improved.</li><li>Contribution workflow efficiency: PR cycle times reduced; compliance with tests/docs near 100%.</li><li>Community engagement: Active participation in enablement programs; measurable impact on SDK evolution.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software engineering or developer experience roles, with strong focus on SDK/API usability and enablement.</li><li>Proficiency in Python and experience building developer-facing libraries (packaging, semantic versioning, backward compatibility).</li><li>Hands-on experience with DX tooling (cookiecutters, CLI scaffolds, doc generators like Sphinx or MkDocs).</li><li>Strong understanding of CI/CD pipelines, contribution workflows, and automated doc/test integration.</li><li>Excellent communication skills; ability to translate complex technical concepts into clear, actionable guidance.</li></ul>Preferred Qualifications<ul><li>Familiarity with GenAI/LLM ecosystems (RAG, agent frameworks, MCP adaptors) and their developer integration patterns.</li><li>Familiarity in designing and implementing Developer Experience (DX) evaluation frameworks</li><li>Experience running developer enablement programs and managing community contribution workflows.</li><li>Background in open-source practices and multi-language SDK delivery (Python primary; TypeScript/Java nice-to-have).</li><li>Exposure to observability and security-by-design principles for developer-facing libraries.</li><li>Comfortable collaborating across architecture, QA, DevOps, DX, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, Developer Experience & Community Enablement Engineer 4949160

As Senior Manager, Evaluation &amp; QA Engineer (Individual Contributor), you will own the quality, evaluation, and reliability strategy for our pip‑installable AI Capabilities SDK and its reusable modules (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design evaluation frameworks, test harnesses, and automation pipelines that make quality measurable and repeatable—from unit and integration tests to adversarial/fuzz testing, performance/cost benchmarking, and safety/privacy checks.You will collaborate closely with:<ul><li>Embedded AI Architects and Solution Designers to codify evaluation requirements that mirror real solution patterns.</li><li>AI Engineering to validate PI increments, integrate external technologies, and capture model/agent‑level failure modes.</li><li>DevOps Engineers to wire evaluation gates into CI/CD and release trains.</li><li>Developer Experience Engineers to ensure developers receive clear, actionable evaluation reports and quickstarts.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) to gather field feedback and ensure tests reflect production reality.</li></ul>&nbsp;Why this Role MattersFor modular AI capabilities to scale safely and predictably, we need evidence‑driven quality. This role turns evaluation into a first‑class, automated discipline—ensuring every SDK change is validated for correctness, performance, safety, and operability. You will reduce regressions, raise confidence, and accelerate adoption across products and services that rely on the SDK as their backbone.ROLE RESPONSIBILITIES1) Evaluation Strategy &amp; Quality Architecture<ul><li>Define the evaluation strategy for SDK modules (parsers, retrievers, rankers, connectors, agent tools, MCP adaptors), including metrics, datasets/fixtures, benchmarks, and acceptance thresholds.</li><li>Establish quality gates for release: test coverage minimums, latency/throughput/cost budgets, stability envelopes, and backward compatibility checks.</li><li>Establish source code writing principles that align with the widely accepted coding standards and ensure high maintainability degree.</li><li>Create reproducibility standards (seeds, dataset/version pins, environment parity) and evidence capture (reports, artifacts) for auditability.</li></ul>2) Test Harnesses &amp; Automation<ul><li>Build unit, integration, contract, property‑based, and fuzz/adversarial test harnesses for SDK components; standardize fixtures for RAG and agent scenarios (vector stores, document corpora, tool execution).</li><li>Partner with DevOps to integrate tests and quality gates into CI/CD (parallelization, matrix runs, caching) and to fail builds on significant regressions or unmet quality bars.</li><li>Design benchmark suites for performance and cost profiling (e.g., latency distributions, throughput, memory/CPU footprints) with clear pass/fail criteria.</li></ul>3) Safety, Privacy &amp; Guardrails<ul><li>Codify safety evaluations (toxicity/abuse prompts, jailbreak resistance, sensitive data leakage risks) and policy adherence tests for agent/tool behaviors.</li><li>Validate security-by-design aspects of SDK usage (authn/z integration points, secrets handling, data minimization); coordinate with Platform/Security for service consumers.</li><li>Ensure privacy and compliance checks are represented in test plans and evidence bundles (PII handling, retention, deletion workflows).</li></ul>4) Observability-by-Design for Libraries<ul><li>Work with Capability Architecture and DevOps to embed diagnostic hooks suitable for libraries (structured logging, metrics/traces toggles) and define SLIs relevant to consuming services.</li><li>Verify error models (exceptions/types/codes) and retry/backoff behaviors; ensure runbooks and troubleshooting guides are informed by evaluation results.</li></ul>5) Data &amp; Datasets Governance for Evaluation<ul><li>Curate and version evaluation datasets (synthetic and real-world samples where appropriate); maintain data lineage and provenance.</li><li>Implement dataset health checks (drift, representativeness, coverage) and red‑team suites that evolve with product use cases.</li><li>Align dataset usage with legal/privacy guidance; document constraints and approvals.</li></ul>6) Developer Experience &amp; Enablement<ul><li>Produce evaluation reports and quality dashboards that developers can interpret quickly (summary + drill‑downs + diffs vs. baseline).</li><li>Collaborate with Technical Writers and Developer Experience engineers to include evaluation guidance, quickstarts, and troubleshooting in SDK docs.</li><li>Provide templates for teams to extend evaluation suites when contributing new modules via feature branches.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to keep evaluation aligned with production realities.</li><li>Lead post‑release and incident reviews to improve test coverage, resilience, and guardrails.</li><li>Track and improve quality KPIs (escaped defects, regression counts, benchmark variance, time-to-detect/repair).</li></ul>MEASURES OF SUCCESS<ul><li>Safety &amp; compliance: Guardrail tests pass; reduced policy violations; documented evidence meets audit requirements.</li><li>DX &amp; adoption: Clear evaluation reports improve developer confidence; faster time‑to‑first‑success for consuming teams.</li><li>Continuous Improvement: Actionable insights from incidents and field feedback lead to expanded test suites and stronger guardrails.</li><li>Process Excellence: Data-driven evaluation of the efficiency, quality and consistency of the SDK testing and quality workflows.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in QA/Quality Engineering/Evaluation for SDKs, libraries, or platform components in software/AI contexts.</li><li>Hands‑on experience building automated test frameworks (unit/integration/contract) and benchmark suites; strong Python testing fluency (e.g., pytest, property-based testing, fuzzing).</li><li>Proficiency with CI/CD systems (GitHub Actions, Azure DevOps, GitLab CI) and integrating quality gates (coverage, performance, security).</li><li>Working knowledge of AI/ML or GenAI patterns (RAG, vector stores, agents/tools) and evaluation considerations for these workloads.</li><li>Strong grasp of reproducibility, data governance, and observability‑by‑design for libraries.</li></ul>Preferred Qualifications<ul><li>Experience with adversarial/red‑teaming methodologies for LLM‑enabled features and safety guardrails.</li><li>Background in performance engineering (profiling, optimization, latency/cost analysis) for Python libraries.</li><li>Familiarity with security and privacy testing (static analysis, secrets scanning, dependency hygiene, PII handling).</li><li>Exposure to regulated environments (healthcare/pharma/finance) and audit‑ready evidence capture.</li><li>Comfortable collaborating across architecture, DevOps, DX, LLMOps, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, Evaluation & QA Engineer 4949162

As Senior Manager, LLMOps &amp; AI Integration Engineer (Individual Contributor), you will lead the model integration, agent/tooling, and LLM operations strategy for our pip‑installable AI Capabilities SDK. You will design and maintain clean, extensible interfaces for LLMs, embeddings, retrieval, tool execution, and agentic workflows; build runtime guards and evaluation hooks; and optimize latency, reliability, and cost—so teams can embed AI safely and predictably.You will collaborate closely with:<ul><li>Embedded AI Architecture and Solution Design to prioritize capabilities and define interfaces aligned to real-world solution patterns.</li><li>AI Engineering to deliver PI increments, integrate external technologies, and codify model/agent failure modes and mitigations.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) as consumers of the SDK, capturing feedback to refine ergonomics and performance.</li><li>DevOps, Evaluation &amp; QA, and Developer Experience engineers to wire guardrails, evaluation, and developer-ready assets into CI/CD and docs.</li></ul>Why this Role MattersLLMOps sits at the intersection of capability, safety, and operability. By turning complex model/agent behaviors into well-abstracted, evaluable, and observable SDK modules, you enable teams to deliver AI features fast with safety—reducing bespoke implementations, ensuring reproducibility, and controlling latency/cost at scale. Your work is foundational for platform services that rely on the SDK as their backbone.ROLE RESPONSIBILITIES1) Model &amp; Agent Integration Architecture<ul><li>Design Python SDK interfaces for LLM clients, embeddings, tokenization, and structured outputs (e.g., Pydantic/JSON schemas).</li><li>Implement function/tool calling abstractions, agent orchestration patterns (ReAct-like, planner/executor), and MCP adaptors for interoperable tools.</li><li>Provide configuration and secrets integration points that downstream services can adopt consistently (env vars, config schemas, key management hooks).</li></ul>2) Retrieval &amp; RAG Components<ul><li>Build RAG modules (document loaders, chunking/segmentation, embeddings, retrievers, rerankers) with pluggable backends (vector stores, search indices).</li><li>Standardize connectors and interface contracts for common data sources; ensure reproducible pipelines and SDK↔service parity of behaviors.</li><li>Optimize retrieval quality via evaluation hooks (precision/recall, MRR, hit rate) and tunable parameters (top‑k, thresholds).</li></ul>3) Guardrails, Safety &amp; Policy Integration<ul><li>Codify safety guardrails: prompt hygiene, jailbreak resistance, content filters, sensitive topic/policy checks, red‑team/adversarial probes.</li><li>Integrate privacy/security controls: data minimization, PII detection flags, safe logging, and deterministic truncation strategies.</li><li>Provide policy‑as‑code hooks and pre/post‑processing middleware to enforce runtime constraints within SDK flows.</li></ul>4) Performance, Reliability &amp; Cost Engineering<ul><li>Implement caching, batching, retry/backoff, circuit breakers, and fall‑back strategies across model/tool calls.</li><li>Profile and tune latency, throughput, and token usage/cost; expose configuration knobs and budget guards (token and cost caps).</li><li>Maintain benchmark suites and regression baselines for model and retrieval components; block releases on significant degradations.</li></ul>5) Observability‑by‑Design for Libraries<ul><li>Embed telemetry hooks (structured logs, metrics, traces) suitable for a library so that services consuming the SDK can attach enterprise observability.</li><li>Define SLIs relevant to LLMOps (latency, error rates, cache hit ratio, token usage, cost per call) and document runbook guidance for downstream teams.</li><li>Standardize error models and return types to ensure predictable handling across consuming services.</li></ul>6) Evaluation &amp; CI/CD Integration<ul><li>Partner with Evaluation &amp; QA Engineers to build test harnesses (unit/integration/contract/fuzz/adversarial) and benchmark suites for agents/tools, RAG, and model endpoints.</li><li>Work with DevOps Engineers to wire quality gates into CI/CD: coverage thresholds, performance budgets, safety checks, SBOM/signing for release artifacts.</li><li>Provide fixtures and simulators to enable deterministic tests across backends (vector stores, providers).</li></ul>7) Developer Experience &amp; Enablement<ul><li>Collaborate with Developer Experience and Technical Writers to deliver quickstarts, sample apps, notebooks, and code recipes for common patterns (RAG, agents, tool use, structured outputs).</li><li>Contribute to cookiecutters/CLI scaffolds that prewire configuration, tests, telemetry, and guardrails for new modules or integrations.</li><li>Support community contribution workflows (feature branches, PR checks, doc acceptance criteria) and mentor contributors on best practices.</li></ul>8) Collaboration &amp; Continuous Improvement<ul><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to refine APIs, defaults, and ergonomics.</li><li>Participate in post‑release retrospectives and incident reviews to strengthen guardrails, performance tuning, and developer experience.</li><li>Track and improve LLMOps KPIs (latency, cost per call, error rates, cache hit ratios, evaluation pass rates).</li></ul>MEASURES OF SUCCESS<ul><li>Performance &amp; cost: Latency and token/cost budgets consistently met; cache hit ratios improved; fewer performance regressions.</li><li>Safety &amp; reliability: Guardrail tests pass; reduced policy violations and incident rates; predictable error handling.</li><li>Adoption &amp; DX: Faster time‑to‑first‑success for consuming teams; positive developer feedback on APIs and examples.</li><li>Evaluation coverage: Benchmarks and adversarial tests integrated; high pass rates; clear baselines with trend reporting.</li><li>SDK↔Consumer parity: Consistent behavior across downstream services; reduced bespoke integrations and rework.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software/AI engineering with significant experience in LLMOps or model/tool integration for Python libraries.</li><li>Deep proficiency in Python and building extensible SDKs (interfaces, packaging, semantic versioning, backward compatibility).</li><li>Hands‑on with GenAI/LLM ecosystems (e.g., tool/function calling, structured outputs, prompt orchestration) and RAG components (embeddings, retrievers, rerankers, vector stores).</li><li>Strong grasp of performance engineering (profiling, caching, batching), resilience patterns (retry/backoff, circuit breakers), and cost control (token budgeting).</li><li>Experience embedding observability hooks and integrating evaluation/benchmarks into CI/CD pipelines.</li></ul>Preferred Qualifications<ul><li>Familiarity with agent frameworks, MCP adaptors, and multi‑provider model client abstractions.</li><li>Experience with adversarial/safety testing, privacy/PII considerations, and policy‑as‑code guardrails.</li><li>Background in open-source workflows (feature branches, PR reviews) and multi‑backend integration (vector DBs, search, storage).</li><li>Exposure to regulated environments (healthcare/pharma/finance) and audit‑ready evidence capture.</li><li>Comfortable collaborating across architecture, DevOps, QA, DX, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, LLMOps & AI Integration Engineer 4949157

As Senior Manager, Software Engineer (Individual Contributor), you will be a senior technical authority within the Enterprise AI Capability Design Team, responsible for designing and implementing modular, reusable AI capabilities in the form of SDKs and associated components. Your mission is to build developer-first, extensible SDKs that enable internal teams and the broader community to integrate AI capabilities seamlessly into applications, while maintaining consistency, quality, and performance.You will design and implement core modules for RAG pipelines, agent and tool cookiecutters, MCP adaptors, and standardized interfaces that allow community-driven extensions. You will also collaborate on automated pipelines for code quality checks, benchmarking, and integration tests, ensuring every capability meets enterprise-grade standards for reliability, security, and observability.This role requires close collaboration with:<ul><li>Embedded AI Architecture Team and Solution Design Team to prioritize capabilities and define SDK interfaces aligned to real-world solution patterns.</li><li>AI Engineering Team, which actively develops PI increments of the SDK and integrates external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs), who will consume these capabilities in product delivery and provide feedback for continuous improvement.</li></ul>Why this Role MattersThis role is the engineering backbone of our AI capability strategy. By delivering high-quality SDKs and reusable modules, you enable rapid adoption, reduce bespoke engineering, and ensure parity between SDK and service implementations. Your work directly impacts developer experience, scalability, and the ability to operationalize AI capabilities across the enterprise.ROLE RESPONSIBILITIES1) SDK &amp; Module Development<ul><li>Design and implement modular SDK components for AI capabilities, including:<ul><li>RAG pipeline modules (parsers, chunkers, enrichers, retrievers, rankers, connectors)</li><li>Cookiecutters for agents and tools with MCP adaptors</li><li>Standardized interfaces for community-driven extensions</li></ul></li><li>Ensure SDKs are extensible, composable, and versioned with clear upgrade paths.</li></ul>2) Collaboration &amp; Interface Definition<ul><li>Work closely with Embedded AI Architects and Solution Designers to define SDK interfaces and design patterns based on prioritized use cases.</li><li>Partner with AI Engineering Team to integrate external technologies, validate new components, and align on PI increments for SDK evolution.</li><li>Engage with Digital Creation Centers and FITs to capture feedback on usability, performance, and integration experience.</li></ul>3) Code Quality &amp; Testing Automation<ul><li>Collaborate with Evaluation &amp; QA Engineers to integrate unit, integration, and performance tests into CI/CD pipelines.</li><li>Implement automated code quality checks, linting, and security scans for SDK components.</li><li>Contribute to benchmarking frameworks for new modules and features.</li></ul>4) Developer Experience &amp; Enablement<ul><li>Work closely with Developer Experience Engineers to deliver clear APIs, ergonomic SDK design, and developer-friendly documentation.</li><li>Provide quickstarts, code samples, and integration guides to accelerate adoption.</li><li>Participate in community enablement efforts, ensuring SDK interfaces are intuitive and extensible.</li></ul>5) Architecture &amp; Standards Alignment<ul><li>Align SDK design with enterprise architecture principles, ensuring parity with service implementations.</li><li>Collaborate with AI Capability Architecture Lead on interface contracts, observability hooks, and security-by-design patterns.</li><li>Maintain semantic versioning and backward compatibility policies for SDK releases.</li></ul>MEASURES OF SUCCESS<ul><li>SDK quality and adoption: High developer satisfaction; increased reuse across products; minimal bespoke implementations.</li><li>Release health: Predictable release cadence; automated quality gates; successful integration tests.</li><li>Performance and reliability: SDK modules meet latency, throughput, and cost targets; observability hooks implemented.</li><li>Community engagement: Positive feedback on extensibility and contribution workflows; active feature branch participation.</li><li>Documentation completeness: Clear quickstarts, code samples, and integration guides delivered with each release.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software engineering roles with strong experience in API/SDK design and modular architecture.</li><li>Proficiency in modern programming languages (Python required).</li><li>Hands-on experience with cloud-native development (Azure, AWS, or GCP) and containerized environments.</li><li>Strong understanding of CI/CD pipelines, automated testing, and code quality practices.</li><li>Ability to produce developer-friendly SDKs with clear documentation and ergonomic interfaces.</li><li>Proficiency in Git-based workflows (feature branches, PR reviews, semantic versioning)</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML frameworks (PyTorch, TensorFlow) and GenAI/LLM ecosystems (prompt tooling, RAG, vector databases, agent frameworks).</li><li>Contribution to open-source projects and/or community-driven extensions.</li><li>Exposure to observability tooling (metrics, tracing, logging) and security-by-design principles.</li><li>Background in performance engineering and benchmarking for AI workloads.</li><li>Experience in regulated environments with audit-ready documentation and compliance standards.</li></ul>&nbsp;

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