Location
5 Canada Square, London

Hours
Full Time

Salary
Negotiable

About the Role
Join London Stock Exchange Group (LSEG), a global leader in financial markets infrastructure and data, with a rich history spanning over 300 years. As a Technical Architect within the Corporate Engineering AI (CE AI) team, you will play a pivotal role in scaling safe, high-quality AI capabilities across the enterprise by owning and maintaining architecture design documentation, driving designs through governance, and ensuring alignment with security, resilience, scalability, and compliance requirements. You will collaborate closely with Cyber, Risk, Legal, Privacy, and Compliance stakeholders, as well as ML, Quality, and SRE teams to deliver production-ready solutions. This role offers the opportunity to contribute to cutting-edge AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway, enabling product engineering teams across LSEG to leverage AI in a governed and scalable manner. Be part of a dynamic, inclusive culture that values innovation, diversity, and continuous growth, supporting financial stability and sustainable economic growth worldwide.

Experience
- Proven experience owning architecture artefacts in a governed enterprise environment
- Strong understanding of architecture governance processes and stakeholder engagement
- Ability to translate complex AI/ML designs into clear, comprehensive documentation
- Knowledge of enterprise architecture principles including security, cloud, data management, and resilience
- Familiarity with large language models (LLM), retrieval-augmented generation (RAG), and agentic system architectures and associated risks

About you
- Excellent stakeholder management and communication skills, capable of engaging both technical and non-technical audiences
- Detail-oriented with a strong focus on security, compliance, and operational excellence
- Collaborative mindset with the ability to work effectively across diverse teams and disciplines
- Motivated to contribute to a culture of innovation, quality, and continuous improvement

Qualifications
- Relevant technical qualifications or equivalent experience in architecture and AI/ML systems preferred but not mandatory
- Commitment to ongoing professional development and learning within a fast-evolving technology landscape