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Lead AI Engineer | London | Global Asset Manager
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.
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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.
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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
- Production GenAI / AI application experience
- RAG, AI Agents, LangChain, LlamaIndex, MCP
- AWS & cloud-native architecture
- Technical leadership with a hands-on mindset
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