AI Engineer
Willis Towers Watson4 days ago
London, United KingdomStaff+
Responsibilities
- Design, build, evaluate, secure, and productionise AI-enabled features and services using large language models, RAG, prompt engineering, and agent frameworks.
- Rapidly prototype and validate concepts, moving ideas from whiteboard to working demonstrations and scalable production solutions.
- Develop web-based applications and services using C#/.NET, React and/or Angular, TypeScript, Python, Azure, and DevOps tooling.
- Own evaluation, testing, guardrails, observability, security, and cost management for AI solutions.
- Use and direct AI coding assistants and agentic workflows, while reviewing human- and AI-generated code against architectural, development, and security standards.
- Own delivery of a small suite of business-related projects and ensure alignment with the wider technical vision.
- Coach colleagues in effective and responsible AI tooling use and drive adoption of AI agent-led delivery.
- Challenge established development processes, particularly the integration of AI agents into the software development lifecycle.
- Track AI and agentic technology trends and apply them pragmatically to products while developing domain knowledge.
Requirements
- Minimum 10 years of commercial software engineering experience.
- Practical experience building with large language models, RAG, prompt engineering, and agent frameworks or orchestration such as LangChain, LangGraph, or Semantic Kernel.
- Professional experience using AI coding assistants and agentic development tools such as GitHub Copilot, Claude Code, or Cursor, including critically reviewing, validating, and securing generated code.
- Strong hands-on experience with React and/or Angular, TypeScript, C#/.NET, and Python.
- Commercial Azure cloud experience using GitHub and Azure DevOps across the software development lifecycle and Agile delivery.
- Demonstrated ability to rapidly prototype and validate ideas and move concepts to working demos within days.
- Experience leading, influencing, and mentoring through hands-on contributions.
- Experience working in financial services, preferably insurance or insurance broking, or the ability to become effective quickly in an unfamiliar domain.
- Strong communication, creative problem-solving, stakeholder engagement, initiative, and willingness to challenge established approaches.
- Preferred experience running AI or LLM solutions at production scale, including evaluation frameworks, guardrails, and cost management.
- Preferred experience designing or orchestrating multi-agent workflows and familiarity with agent protocols such as MCP.
- Preferred experience with microservice-based architectures, containerisation, mathematical algorithms, geospatial data, catastrophe data, or financial-modelling data.
- Preferred experience translating complex business processes across multiple stakeholder groups.
- A BSc in a quantitative discipline such as Mathematics, Science, or Computer Science is desirable.
Benefits
- 25 days of annual leave plus an additional WTW day.
- Private healthcare, life insurance, group income protection, and regular health assessments.
- Defined contribution pension with company-matched contributions up to 10%.
- Hybrid working with regular office attendance for meetings and workshops, plus occasional business travel.
- Employee assistance programme and a fully paid volunteer day.
- Optional electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and other perks.
Tech Stack
Categories
About Willis Towers Watson
WTW is a global advisory, broking, and software firm serving employers, insurers, and institutional clients across people, risk, and capital. It provides insurance brokerage and risk advisory, employee benefits and pensions consulting, and HR/benefits administration software and analytics. Headquartered in London and listed on NASDAQ (WTW), the company was formed in 2016 via the Willis Group–Towers Watson merger and operates in roughly 140 markets worldwide.