Eunice Energy Group

LastWeek

LastThreeDays

Today

Aoristou

FullTime

OnSite

The AI Application Architect will design, implement, and scale AI-driven applications across EUNICE. This role bridges business needs with technical solutions, ensuring that AI tools are effectively integrated into operations, HR, finance, and product workflows. The Architect provides the framework, governance, and technical leadership required for successful AI adoption—supporting both efficiency and innovation across the enterprise.Key Responsibilities Architecture &amp;amp; Design Define and maintain the AI application architecture aligned with enterprise IT standards. Select and integrate AI tools and frameworks (chatbots, automation engines, predictive analytics, data pipelines). Design modular, scalable, secure AI applications that support long-term growth.Implementation &amp;amp; Integration Lead end-to-end design, development, and deployment of AI applications with business and IT teams. Build APIs and integration layers connecting AI solutions with HR, finance, operations, and product systems. Drive proof-of-concepts and pilot projects, transitioning them into production-ready solutions.Governance &amp;amp; Best Practices Establish AI governance frameworks covering compliance, data privacy, and ethical use. Define coding standards, documentation requirements, and architectural principles. Provide technical mentorship and enable knowledge transfer across teams.Collaboration &amp;amp; Alignment Work with HR, Operations, and Business Units to translate functional needs into AI-enabled solutions. Partner with stakeholders to streamline workflows, automate repetitive tasks, and enhance decision-making. Serve as a technical advisor on AI opportunities, feasibility, and impact.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 5+ years of experience in application architecture, preferably with AI/ML systems. Strong background in cloud platforms (Azure, AWS, GCP) and AI/ML frameworks (TensorFlow, PyTorch, LangChain, OpenAI API, etc.). Experience with enterprise integration (APIs, middleware, event-driven architectures). Knowledge of data engineering, databases, and MLOps practices. Familiarity with compliance, data privacy regulations, and ethical governance in AI. Excellent communication skills and ability to work with both technical and non-technical teams.Key Competencies Strategic mindset with hands-on implementation ability. Strong problem-solving skills and systems-thinking approach. Ability to translate business requirements into scalable AI solutions. Continuous learner, staying current with emerging AI technologies and practices. Collaborative leadership and strong stakeholder engagement capabilities.

AI Application Architect

The AI &amp;amp; Automation Engineer will scale AI-driven automation across EUNICE’s enterprise. This role goes beyond pilots and prototypes—building robust automation frameworks that enhance HR, finance, operations, and compliance processes. Drawing from leading US best practices, the role integrates AI copilots, orchestrators, and automation layers into daily workflows, enabling efficiency, accuracy, and digital transformation at scale.Key Responsibilities Automation Design Develop enterprise-wide automation solutions using modern AI frameworks and tools. Integrate AI copilots into HR, finance, compliance, and operational workflows. Ensure automation frameworks are scalable, secure, and maintainable.Implementation &amp;amp; Scaling Transition automation pilots and proofs-of-concept into full production systems. Automate manual-heavy, repetitive processes to increase operational efficiency. Deploy monitoring, troubleshooting, and optimization mechanisms for automation systems.Collaboration &amp;amp; Enablement Work closely with application architects to ensure seamless integration across platforms and systems. Collaborate with HR, finance, and operations teams to map automation opportunities and assess business impact. Provide training, documentation, and knowledge transfer to ensure organization-wide adoption.Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in automation engineering or AI systems. Knowledge of AI automation frameworks (e.g., UiPath, Automation Anywhere, LangChain, OpenAI APIs). Experience with systems integration, including APIs, RPA, and workflow orchestration. Strong understanding of enterprise security, governance, and compliance in automation environments.Key Competencies Forward-thinking mindset on the use of AI within enterprise environments. Strong process optimization and analytical thinking. Ability to collaborate effectively with cross-functional teams. Continuous learning orientation and adaptability to evolving technologies.

AI & Automation Engineer

The Cloud Infrastructure Architect will define and implement hybrid cloud-edge infrastructures that position EUNICE as a digital pioneer. Leveraging US advancements in edge computing, cloud-native architectures, and resilient data centers, this role will design systems that are scalable, secure, and future-ready.Key ResponsibilitiesArchitecture &amp;amp; DesignDevelop a hybrid cloud-edge architecture integrating data centers with cloud-native services.Design scalable, high-availability infrastructure with automation at its core.Ensure systems are secure, resilient, and performance-optimized.Innovation &amp;amp; TransformationIntroduce US-grade best practices in edge computing and orchestration.Lead modernization of infrastructure from traditional systems to cloud-native solutions.Ensure sustainability and energy efficiency in infrastructure design.Operations &amp;amp; IntegrationIntegrate infrastructure with HR, operations, and product platforms.Collaborate with AI and cybersecurity teams to ensure seamless, secure connectivity.Oversee migration, deployment, and lifecycle management of cloud workloads.QualificationsBachelor’s/Master’s degree in Computer Engineering, Cloud Computing, or related field.10+ years experience in infrastructure design and cloud architecture.Expertise in hybrid and multi-cloud (Azure, AWS, GCP).Knowledge of edge computing, containerization (Kubernetes, Docker), and orchestration.Experience in automation frameworks (Terraform, Ansible).Strong grasp of cybersecurity integration in cloud infrastructure.Key CompetenciesStrategic technology vision.Forward-thinking design approach.Cross-functional collaboration skills.Ability to integrate innovation with practicality.Resilience and adaptability in fast-changing tech landscapes.Impact of the RoleBy redefining infrastructure with hybrid cloud-edge design, the role enables EUNICE to operate at global scale. It ensures resilient, secure, and high-performance systems that empower innovation across the organization.&nbsp;QualificationsBachelor’s/Master’s degree in Computer Engineering, Cloud Computing, or related field.10+ years experience in infrastructure design and cloud architecture.Expertise in hybrid and multi-cloud (Azure, AWS, GCP).Knowledge of edge computing, containerization (Kubernetes, Docker), and orchestration.Experience in automation frameworks (Terraform, Ansible).Strong grasp of cybersecurity integration in cloud infrastructure.Key CompetenciesStrategic technology vision.Forward-thinking design approach.Cross-functional collaboration skills.Ability to integrate innovation with practicality.Resilience and adaptability in fast-changing tech landscapes.

Cloud Infrastructure Architect

The Cybersecurity Architect will lead the design and implementation of next-generation security frameworks for EUNICE. This role integrates global best practices from the US cybersecurity landscape—Zero Trust, AI-driven monitoring, and compliance-by-design—into the organization’s operations. The Architect will ensure that EUNICE is not only protected against today’s threats but is resilient and adaptive to emerging risks, positioning the organization as a pioneer in cybersecurity in Greece and Europe.Key ResponsibilitiesArchitecture &amp;amp; Strategy Design and implement a Zero Trust cybersecurity architecture across all systems. Introduce AI-driven monitoring and anomaly detection for proactive threat prevention. Ensure cybersecurity architecture is scalable, adaptive, and resilient. Compliance &amp;amp; Governance Align security frameworks with US and international standards (NIST, CISA, ISO 27001, GDPR). Embed compliance-by-design into applications and infrastructure. Define and enforce security policies, controls, and standards. Operations &amp;amp; Resilience Oversee identity, access, and data protection across HR, finance, and operational systems. Introduce cyber-resilience practices, including incident response automation. Collaborate with infrastructure and AI teams to secure cloud, edge, and data center environments.Advisory &amp;amp;Collaboration Advise leadership on cybersecurity risk and strategic investments. Provide technical mentorship and raise cyber-awareness across teams. Engage external partners to ensure cutting-edge practices are adopted.Qualifications Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or related field. 10+ years in cybersecurity roles, with proven architecture and leadership experience. Deep knowledge of Zero Trust frameworks, IAM, and data protection technologies. Experience with AI-driven security platforms and advanced monitoring tools. Familiarity with compliance standards: NIST, ISO 27001, GDPR, CISA guidelines. Strong background in securing hybrid cloud and edge computing environments. Excellent communication and advisory skills with executive leadership. Key Competencies Strategic cybersecurity vision with execution capability. Ability to anticipate emerging threats and design resilient systems. Strong system-thinking and problem-solving skills. Leadership and mentoring mindset. Clear communication of complex risks to non-technical stakeholders.Impact of the Role By embedding progressive cybersecurity practices, this role positions EUNICE as a pioneer in secure digital operations. The Cybersecurity Architect safeguards critical data, strengthens trust with partners, and enables the organization to scale globally with confidence.QualificationsBachelor’s or Master’s degree in Cybersecurity, Computer Science, or related field. 10+ years in cybersecurity roles, with proven architecture and leadership experience. Deep knowledge of Zero Trust frameworks, IAM, and data protection technologies. Experience with AI-driven security platforms and advanced monitoring tools. Familiarity with compliance standards: NIST, ISO 27001, GDPR, CISA guidelines. Strong background in securing hybrid cloud and edge computing environments. Excellent communication and advisory skills with executive leadership.Key Competencies Strategic cybersecurity vision with execution capability. Ability to anticipate emerging threats and design resilient systems. Strong system-thinking and problem-solving skills. Leadership and mentoring mindset. Clear communication of complex risks to non-technical stakeholders.

Cybersecurity Architect

The Systems Reliability Engineer will ensure that EUNICE platforms achieve high-grade reliability. The role introduces AI-Ops practices, predictive monitoring, and self-healing systems that guarantee 24/7 uptime. This position bridges infrastructure, software, and operations to embed resilience into every layer.Key Responsibilities Reliability &amp;amp; Performance Design and implement monitoring, alerting, and observability frameworks. Leverage AI for predictive failure detection and system optimization. Ensure 24/7 availability across HR, operations, and educational platforms.Automation &amp;amp;Efficiency Introduce automated recovery and self-healing systems. Reduce manual interventions by scaling DevOps and SRE practices. Continuously optimize system performance and resilience. Collaboration Work with development teams to embed reliability in design. Partner with infrastructure and AI architects for holistic solutions. Advise leadership on reliability strategies and trade-offs.Qualifications Bachelor’s in Computer Science, Engineering, or related field. 5+ years experience in SRE, DevOps, or infrastructure engineering. Knowledge of observability tools (Prometheus, Grafana, ELK, etc.). Experience with cloud-native reliability practices. Familiarity with AI-Ops frameworks and predictive monitoring.Key Competencies Reliability-first mindset. Analytical and problem-solving ability. Cross-functional collaboration. Continuous improvement orientation. Clear communication.Impact of the Role The SRE role transforms EUNICE systems into reliable, trusted platforms. It ensures that digital operations never fail, enhancing credibility and enabling seamless global operations.Special Skills Advanced Observability ability: Ability to design end-to-end observability stacks (metrics, logs, traces) and diagnose complex distributed system issues. AI-Ops Proficiency: Hands-on experience with AI-driven monitoring, anomaly detection, and predictive analytics. Automation Mastery: Strong skills in automating reliability workflows, including self-healing scripts, automated rollbacks, and infrastructure-as-code. Cloud Native Reliability: Deep familiarity with Kubernetes, service mesh technologies, autoscaling strategies, and resilient microservices design. Chaos Engineering: Ability to design and execute controlled failure scenarios to validate system robustness. Performance Engineering: Skilled in identifying bottlenecks, optimizing workloads, and tuning cloud/edge environments. Incident Command: Strong capability to lead incident response, root-cause analysis, and post-mortem improvements. Scalable Architecture Understanding: Ability to build systems that handle peak loads, fail gracefully, and recover instantly. Security-Aware Engineering: Knowledge of secure configurations, zero-trust principles, and compliance-aligned reliability. Scripting &amp;amp; Automation Languages: Strong command of Python, Bash, Go, or similar languages for tooling and automation.

Eunice Energy Group

ai application architect