AI Agent Engineering Lead

• 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

Qualifications :

• 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

Additional Information :

• Competitive remuneration
• Working in a dynamic international team
• High degree of responsibility and independence
• Friendly and modern working environment

Remote Work :

No

Employment Type :

Full-time