Technical Architect at LSEG (London Stock Exchange Group)

Job Description

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific, employing 25,000 people globally.

The Corporate Engineering AI (CE AI) team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team’s mission is to scale safe, high-quality AI capabilities across the enterprise by providing shared platforms, patterns, governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway.

This programme delivers an LSEG-owned, production-grade agentic AI platform with MCP as its extensibility layer, including building and operating LSEG AI Assist, operating QAS (the enterprise RAG and search layer), delivering a production Internal MCP Gateway, and designing MCP servers and Skills that expose internal and vendor systems safely to agents.

Responsibilities:
– Own and maintain SDD/ADD design documentation as governed, up-to-date artefacts.
– Drive designs through architecture governance, securing Dev/Test and Production approvals.
– Engage Cyber, Risk, Legal, Privacy, and Compliance stakeholders to validate and approve designs.
– Represent solutions in governance forums, clearly explaining architecture, risks, and controls.
– Ensure solutions meet security, resilience, scalability, observability, and compliance requirements.
– Align implementation with approved design, maintaining traceability and documentation integrity.
– Partner with ML, Quality, and SRE teams to ensure designs are deliverable and production-ready.

Requirements / Qualifications:
– Experience owning architecture artefacts in a governed enterprise.
– Strong understanding of architecture governance processes and stakeholder engagement.
– Knowledge of enterprise architecture principles (security, cloud, data, resilience).
– Familiarity with LLM, RAG, and agentic system architectures and risks.

Skills:
Architecture Governance, SDD/ADD Documentation, Enterprise Architecture, Cloud & Security Architecture, LLM/RAG Systems, Agentic AI Architecture, Stakeholder Management, Risk & Compliance