Lead ML Engineer - Agentic AI Platform

About the role

LSEG's Corporate Engineering AI (CE AI) team builds and governs the internal agentic AI ecosystem, owning core platforms such as LSEG AI Assist, the Question Answering Service (QAS) and the Internal MCP Gateway. It enables product teams to expose knowledge, data and actions to AI agents consistently and safely. The Lead ML Engineer works within the LSEG AI Assist / Internal MCP programme, which builds a production-grade agentic AI platform with the Model Context Protocol (MCP) as its extensibility layer.

Key responsibilities

• Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
• Implement Skills that orchestrate tools, data and reasoning into repeatable, governed workflows.
• Contribute to the LSEG AI Assist agentic harness, including planning, tool-calling and orchestration logic.
• Build secure API wrappers where backend systems lack suitable authentication or entitlement models.
• Work with product teams in a "build for" capacity, transferring knowledge and establishing reusable patterns.
• Shape the developer experience for MCP and Skills, including templates, contribution guidance and standards.
• Collaborate with Quality Engineers and SREs to ensure solutions meet quality, governance and operational readiness expectations.

Required profile

• Strong Python development experience.
• Hands-on experience with LLM and agent frameworks and agentic reasoning patterns.
• Practical understanding of MCP, including server and tool patterns.
• Experience with prompt engineering and RAG-based architectures.
• Ability to work across platform, product and governance boundaries in an enterprise environment.

Required skills

• FastAPI and REST API design and implementation.
• Containerisation and Kubernetes-based deployment.