Τι θα κάνεις
- Αναπτύσσεις, δοκιμάζεις και αναπτύσσεις εφαρμογές Generative και Agentic AI, συμπεριλαμβανομένων agent-based workflows
- Εφαρμόζεις pipelines Retrieval-Augmented Generation (RAG), agentic workflows και βελτιστοποιείς prompts για διαφορετικές χρήσεις
- Πειραματίζεσαι με στρατηγικές prompting, όπως few-shot και chain-of-thought, και συνεργάζεσαι με open-source LLMs υπό καθοδήγηση
- Συνεργάζεσαι με μηχανικούς AI και προγραμματιστές λογισμικού για την ανάπτυξη μοντέλων AI σε περιβάλλοντα cloud όπως AWS, GCP, Azure
Βασικές προϋποθέσεις
- 0+ χρόνια εμπειρίας
- Γνώσεις Python και Java προγραμματισμού
- Εμπειρία ή γνώση Machine Learning, Transformers, Large Language Models (LLMs) και Generative AI
- Εξοικείωση με Prompt Engineering και agent-based workflows
- Κατανόηση Retrieval-Augmented Generation (RAG)
- Δυνατότητα εργασίας σε περιβάλλοντα Cloud όπως AWS, GCP και Azure
- Ικανότητες Επίλυσης προβλημάτων και Συνεργασίας
- Πληροφορική / Μηχανική / Επιστήμη Δεδομένων / Μαθηματικάκατά προτίμηση
Παροχές
- Ανταγωνιστικά οφέλη συμπεριλαμβανομένης πολιτικής γονικής άδειας.
- Διαρκείς ευκαιρίες μάθησης και εξέλιξης.
- Coaching και mentoring καριέρας.
- Διαχείριση απόδοσης με έμφαση σε δυνατά σημεία και ευκαιρίες καριέρας.
- Ευκαιρίες εξέλιξης σε διάφορους πελάτες.
- Corporate citizenship δράσεις όπως εθελοντισμός και φιλανθρωπία.
Περιγραφή Θέσης
As part of Accenture Data & AI practice, specialized in AI (our general term for deep learning, NLP, computer vision, chatbots, VA and robotics), you will be responsible for building and deploying new AI solutions for Accenture’s clients to improve various business outcomes and drive innovation. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will also be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges.
As an AI Foundational Model Analyst, you will:
Develop, test and deploy Generative & Agentic AI applications, including agent-based workflows.
Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows and help optimize prompts for different use cases.
Experiment with prompting strategies (e.g., few-shot, chain-of-thought) and interact with open-source LLMs under the guidance of senior AI engineers.
Collaborate with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure).
Qualification
WHO WE´RE LOOKING FOR?
Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
0–2 years of experience in programming or working with Data & AI projects (internships, university projects, or self-driven learning).
Demonstrated knowledge of programming in Python and/or other programming languages like Java.
Familiarity with Machine Learning, Transformers, Large Language Models (LLMs) and Generative AI concepts (e.g., fine-tuning, prompt-engineering, interacting with both open-source & general-purpose AI systems) and a strong curiosity to learn more – hands-on experience will be considered a plus but not required.
Strong problem-solving skills, eagerness to learn, and the ability to work in a collaborative, global team.
PREFERRED QUALIFICATIONS
Ability to think creatively to solve real world business problems
Ability to work in a global collaborative team environment
Familiarity with relational and NoSQL databases
WHAT'S IN IT FOR YOU?
Competitive benefits, including a fair and balanced parental leave policy.
At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people.
Career coaching and mentorship to help you manage your career and develop professionally.
Performance Achievement – our performance management process that focuses on your strengths, progress and career possibilities.
Fantastic opportunities to develop your career across a variety of clients.
Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.

