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Salary
≈ $156k – $269k per year (Estimated)
Location
In office (London)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 13, 2026. London Stock Exchange scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in London, United Kingdom, the London Stock Exchange is one of the world's oldest and most prominent financial exchanges. It provides international capital markets, premier listing venues such as the Main Market and AIM, and electronic trading infrastructure for equities, bonds, and exchange-traded funds. As a core subsidiary of the London Stock Exchange Group, it connects global issuers with investors to facilitate efficient capital formation, market liquidity, and economic growth.

Join LSEG's Corporate Engineering AI team as a Technical Architect. In this role, you will be responsible for scaling safe, high-quality AI capabilities across the enterprise. You will own and operate core AI platforms, design and build MCP servers and Skills, and establish evaluation, quality control, and governance mechanisms. You will also engage with various stakeholders to validate and approve designs, ensure solutions meet security and compliance requirements, and partner with ML, Quality, and SRE teams to ensure designs are deliverable and production-ready.

Missions

  • Concevoir et construire des serveurs MCP et des compétences qui exposent en toute sécurité les systèmes internes et les systèmes de fournisseurs aux agents.
  • Établir des mécanismes d'évaluation, de contrôle de la qualité et de gouvernance afin que les outils et les compétences MCP puissent être promus et exploités en toute confiance à grande échelle.
  • Posséder et maintenir la documentation de conception SDD/ADD en tant qu'artefact gouverné et à jour.

Profil recherché

- Experience owning architecture artefacts in a governed enterprise

- Strong understanding of architecture governance processes and stakeholder engagement

- Ability to translate complex AI/ML designs into clear documentation

- Knowledge of enterprise architecture principles (security, cloud, data, resilience)

- Familiarity with LLM, RAG, and agentic system architectures and risks

- Strong stakeholder management and communication skills across technical and non-technical audiences

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