- Design, build and deploy AI agents and LLM-based solutions for MET business requirements, from concept through to production
- Develop reusable AI components, templates, connectors, MCP servers and evaluation frameworks, while migrating existing locally developed agents to Azure
- Define and implement standards for hosting, deploying, monitoring, evaluating and managing AI agents on Azure, ensuring alignment with Group IT architecture
- Establish security, monitoring and governance processes for AI agents, including logging, tracing, quality evaluation, cost management, risk classification and data access controls
- Define the framework for transitioning AI agents from business teams to IT ownership, including intake processes, maturity levels, acceptance criteria and responsibilities
- Support and advise technically capable business users on AI agent development, tooling and best practices, while leading the adoption of end-user AI tools such as Microsoft Copilot and Claude
- Collaborate with business stakeholders, Group IT architects and infrastructure teams to translate business requirements into secure, scalable and production-ready AI solutions
- 5+ years of professional software engineering experience, with strong hands-on coding skills in Python and/or C#, energy trading, commodities, banking or financial services is preferred
- Degree in Computer Science, Software Engineering or another relevant technical discipline preferred
- Proven experience building and deploying production-grade LLM-based agents or applications, including tool use/function calling, RAG, MCP, agent frameworks/SDKs and evaluation
- Practical experience with Microsoft Azure, including deployment, identity management (Entra ID) and monitoring; familiarity with Azure AI Foundry and/or Azure OpenAI
- Strong understanding of AI security principles, including data access management, permissions, prompt injection and data leakage prevention
- Ability to translate business requirements into technical solutions and communicate complex technical topics effectively to non-technical stakeholders
- Strong problem-solving, communication and stakeholder management skills, with a structured, collaborative and pragmatic approach
- Experience with Microsoft Copilot / Copilot Studio and Claude is an advantage
- Knowledge of trading regulations (REMIT, EMIR, MiFID II) and AI governance frameworks (EU AI Act, ISO 42001, NIST AI RMF) is an advantage
- Experience mentoring or technically leading engineers is an advantage
- Fluent English
- Competitive remuneration
- Working in a dynamic international team
- High degree of responsibility and independence
- Friendly and modern working environment