Senior AI Engineer: Risk Analytics & Production

WTW group; Greater London; Hybrid; GBP 74,000 - 261,000; Full time

Benefits offered by this job

Health benefits

Pension plan

Paid time off

Job summary

WTW group is seeking a Lead AI Engineer to push frontier AI in risk analytics for delivery within our global team. You will work hands-on, building AI-enabled products and agentic analytics, while collaborating with brokers, actuaries and engineers to deliver secure, observable solutions.

The role demands 10+ years of software experience, 2+ years with LLMs and agent frameworks, and strong Python plus C#/TypeScript skills, with Azure cloud and CI/CD practice. Hybrid travel to offices is expected.

Qualifications

• 10+ years of software engineering, with delivery leadership as a hands-on authority.
• 2+ years building LLM-based and agentic systems in production as part of a team.
• Expert use of AI coding assistants and agentic development tools to deliver output.
• Strong Python and at least one of C#/.NET or TypeScript, and cloud (Azure) experience.

Responsibilities

• Build AI solutions with brokers, actuaries, modellers and clients to differentiate WTW.
• Industrialise ideas quickly and push through CI/CD to production services.
• Design agentic analytics and AI-enabled products on a shared platform.
• Own the AI production quality bar: guardrails, observability and cost management.
• Apply quantitative knowledge of insurance and risk to robust solutions.
• Collaborate with Delivery Leads and Product Leads to shape technical direction.

Skills

Hands-on AI development

Python

C#/.NET

TypeScript (Angular/React)

Azure cloud

Code review & SDLC

Analytics & modelling

Team collaboration

LLMs & agent frameworks

Education

Degree in Mathematics, Science, Engineering or Computer Science

Tools

LangGraph

Semantic Kernel

Claude Code

GitHub Copilot

Cursor

Job description

WTW group is seeking a Lead AI Engineer to push frontier AI in risk analytics for delivery within our global team. You will work hands-on, building AI-enabled products and agentic analytics, while collaborating with brokers, actuaries and engineers to deliver secure, observable solutions.

The role demands 10+ years of software experience, 2+ years with LLMs and agent frameworks, and strong Python plus C#/TypeScript skills, with Azure cloud and CI/CD practice. Hybrid travel to offices is expected.