AI Engineer
Willis Towers Watson22 hours ago
London, United KingdomStaff+
Responsibilities
- Design, build, productionise, evaluate, test, secure, and monitor AI-enabled features and services.
- Use large language models, RAG, prompt engineering, and agent frameworks or orchestration to deliver production solutions.
- Rapidly prototype and validate concepts, moving ideas from whiteboard to working demonstrations and scalable implementations.
- Develop web-based applications and services using C#/.NET, React and/or Angular, TypeScript, and Python.
- Integrate AI capabilities with Azure cloud and DevOps tooling.
- 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 maintain alignment with the wider technical vision.
- Coach colleagues and drive adoption of responsible AI agent-led delivery practices.
- Challenge development processes, particularly the integration of AI agents into the SDLC.
- Track external AI and agentic technology trends and apply them pragmatically to products.
Requirements
- At least 10 years of commercial software engineering experience.
- Practical professional experience building with large language models, RAG, prompt engineering, and agent frameworks or orchestration.
- Hands-on experience with AI coding assistants and agentic development tools such as GitHub Copilot, Claude Code, and Cursor.
- 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 SDLC and Agile delivery.
- Demonstrated ability to rapidly prototype and validate ideas and move from concept to working demo 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 quickly become effective in a new domain.
- Experience running AI or LLM solutions at production scale, including evaluation frameworks, guardrails, and cost management, is desirable.
- Experience designing or orchestrating multi-agent workflows and familiarity with agent protocols such as MCP is desirable.
- Experience with microservice architectures and containerisation is desirable.
- Experience with mathematical algorithms or geospatial, catastrophe, or financial-modelling data is desirable.
- Experience translating complex business processes across multiple stakeholder groups is desirable.
- A BSc in a quantitative discipline such as Mathematics, Science, or Computer Science is desirable.
- Strong communication, creative problem-solving, initiative, and stakeholder collaboration skills.
Benefits
- 25 days of annual leave plus one 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 travel as required.
- 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.