Automation & AI Engineer

This role can be based from our London, Cambridge or Oxford office.

The Department

Our Technology team continues to go from strength to strength, playing a vital role in firm-wide innovation and strategy. Far from being a support function, Technology is integral to the firm's growth agenda, backed by strong leadership engagement and sustained investment.

The Team

The AI and Engineering team develops practical AI, automation and integration capability for legal practice and business operations. It works closely with Product, Data, Architecture, Security and operational teams to turn valuable ideas into secure, maintainable services, while retaining space for controlled experimentation and rapid learning.

The Role

Reporting to the AI & Innovation Lead, the Automation & AI Engineer is the senior technical specialist responsible for turning the AI and innovation roadmap into working capability. The role spans applied AI, agents, Model Context Protocol (MCP), workflow automation and systems integration, providing technical direction across experiments, proofs of concept and production services.

This is a hands-on role, not an architecture-only or research position. It will build solutions directly, set practical engineering patterns and help the Applied AI Engineer and Automation Engineer make sound technical decisions. This is a senior individual-contributor role. It provides day-to-day technical direction, coaching and peer review across the engineering team, while formal line management remains with the AI & Innovation Lead.

Duties And Responsibilities

Technical leadership and delivery

• Lead the technical design and build of complex AI-enabled and automated workflows across legal practice and business operations.
• Work against the prioritised AI and innovation roadmap, with the Product Manager accountable for product priorities and outcomes and the AI & Innovation Lead accountable for innovation direction and team capability.
• Translate product priorities into achievable technical approaches, prototypes and delivery plans, making build, buy and integration trade-offs clear.
• Set practical standards for Python and TypeScript development, APIs, testing, source control, CI/CD, observability and support readiness.
• Review designs and code, coach engineering colleagues and create...

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