Lead AI Engineer

Thomson Keene; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Thomson Keene in London is hiring a Lead Engineer to join its new AI Engineering team. You will lead the design and delivery of production AI applications, working closely with senior stakeholders across Investments and Distribution.

In this hands-on leadership role, you’ll own end-to-end AI solutions, shape engineering standards, and help scale reusable capabilities within a global asset manager.

Qualifications

• Hands-on engineer with Python or Java production experience.
• Experience with AWS and cloud-native architecture.
• Proven technical leadership with hands-on mindset.

Responsibilities

• Own end-to-end AI delivery from concept to production.
• Collaborate with Investments and Distribution to identify AI opportunities.
• Showcase AI projects to stakeholders and clients across the business.

Skills

Python or Java

AWS & cloud-native

Technical leadership

Job description

A leading global asset manager is making a significant investment in AI and is hiring the first Lead Engineer into its new London AI Engineering team. Working across Investments and Distribution, you'll have genuine senior-level sponsorship and the opportunity to shape how AI is built and adopted across the business.

This is a hands-on role for an experienced engineer who has been building production AI applications, agents, or intelligent workflows. You'll work directly with senior stakeholders to identify opportunities, then architect and deliver AI solutions using Python, AWS, RAG, MCP, agentic frameworks, and modern AI engineering patterns. From concept through to production, you'll own end-to-end delivery while helping establish reusable capabilities and engineering standards across the team.

The team are building AI agents, retrieval-based systems, workflow automation, evaluation frameworks, observability capabilities, and shared AI platforms designed for adoption across the wider organisation.

There's also a strong client-facing element. You'll help showcase AI projects to senior stakeholders, clients, and partners, build relationships across the business, and have the opportunity to grow, while remaining close to the technology.

This is a rare opportunity to join at the start of a major AI build-out, combining the autonomy and influence of an early-stage team with the scale, investment, and resources of a global asset manager

Required Skills

• Python or Java engineering background
• AWS & cloud-native architecture
• Technical leadership with a hands-on mindset