AI Engineer

Description

Would you like to help drive the growth and technical software delivery expertise of a global company that works with 91% of the Fortune Global 500? Are you an experienced engineer who is fluent with the latest AI and agentic tooling, thrives on AI agent-led delivery, and can think on your feet to propose innovative solutions to challenging problems? If so, we have an exciting opportunity to join our Willis Neuron Technology team in the UK.

This is an exceptional opportunity to play a key role in developing the change capabilities of a global financial services organisation, where our delivery model is pivoting towards AI agent-led development, and the focus is on practical delivery and reacting to the highest value business needs.

You will hit the ground running: building AI-enabled products with large language models and modern agent frameworks and directing AI coding assistants to deliver  will turn concepts from our architects and product managers into working software quickly, challenge technical design and delivery choices, and bring the analytical rigour needed to take AI solutions safely into production.

The Role

• Design, build and product ionise AI-enabled features and services using large language models, RAG, prompt engineering and agent frameworks / orchestration (such as Lang Chain, Lang Graph or Semantic Kernel).
• Take AI solutions beyond prototype, owning evaluation, testing, guardrails, observability, security and cost management.
• Rapidly prototype and validate ideas, turning concepts into working software within days and proving out how to build the solution properly at scale.
• Deliver hands‑on development of class leading web-based applications and services, integrating AI capabilities with our existing platform (C# / .NET, React and/or Angular, Python) and our Azure cloud and Dev Ops tooling.
• Direct AI coding assistants and agentic workflows (e.g. Git Hub Copilot, Claude Code) alongside your own hands‑on expertise, and rigorously review both human‑written and AI‑generated code against our architectural, development and security standards.
• Own delivery of a small suite of business‑related projects, ensuring architectural and solution alignment with the wider technical vision.
• Drive adoption of AI agent‑led delivery across the team, coaching others in effective and responsible use of AI tooling so the capability spreads.
• Challenge established development processes and procedures, particularly how AI agents are integrated into the SDLC, and work closely with the Engineering Leads on tooling adoption and delivery outcomes.
• Track AI and agentic technology trends outside the organisation and apply them pragmatically to our products, whilst developing deep domain knowledge.

What you’ll bring

Essential Experience

• Practical experience building with AI and agentic technologies: large language models, RAG, prompt engineering, and agent frameworks / orchestration (such as Lang Chain, Lang Graph or Semantic Kernel).
• Hands‑on experience using AI coding assistants and agentic development tools (e.g. Git Hub Copilot, Claude Code, Cursor) in a professional delivery setting, and the ability to critically review, validate and secure the code they produce.
• Strong hands‑on software engineering experience (minimum 10 years commercial), with React and/or Angular, Type Script, C# / .NET and Python.
• Hands‑on commercial experience in Azure cloud, using Git Hub and Azure Dev Ops, across all phases of the SDLC and Agile delivery.
• Proven ability to rapidly prototype and validate ideas, moving a concept from whiteboard to working demo in days.
• Demonstrable experience leading, influencing and mentoring through hands‑on contributions.
• Experience of working in a financial services organisation,…