Lead AI Engineer

As Lead AI Engineer on the Willis Neuron Technology team, you actively shape and deliver AI-driven risk solutions in a fast-paced, production-focused environment. You work closely with brokers, actuaries, modellers and clients to prove concepts quickly and industrialise them into secure, observable services. You own the AI quality bar, from guardrails to cost management, and help steer the technical direction within a compliant platform. This role emphasizes autonomy, collaboration, and frontier AI work that differentiates WTW in risk analytics.

• Health and Welfare Benefits
• Paid Time Off
• 401(k) / Pension
• Wellbeing Program
• Work/Life Resources
• Paid Holidays

• Work as a forward deployed engineer within the delivery team to build AI solutions for risk data across R&A and Data
• Prove ideas rapidly and ship working software within days, then industrialise into production services
• Design and build agentic analytics and AI-enabled products using LLMs, RAG, MCP and modern agent frameworks on the shared platform
• Own the AI production quality bar (evaluation, guardrails, observability, security, cost management)
• Apply quantitative, domain knowledge of insurance and catastrophe modelling to create production-ready solutions
• Plan and prioritise with Delivery Leads and Product Leads; shape technical direction within architecture, security and compliance standards
• Direct AI coding assistants and agentic workflows alongside your own hands-on work to maximise output while maintaining standards
• Lead by example, mentor informally, and share learnings to raise capability across the team
• Stay at the frontier by testing new models/tools hands-on and integrating credible ones into roadmaps and delivery
• Collaborate with business users to move concepts from discussion to demo and into production

• 10+ years of professional software engineering with delivery leadership and mentoring experience
• 2+ years hands-on experience building and shipping LLM-based and agentic systems in production, using RAG, prompt engineering and agent frameworks/orchestration (e.g. LangGraph, Semantic Kernel)
• Expert use of AI coding assistants and agentic development tools (Claude Code, GitHub Copilot, Cursor) with rigorous review and security
• Strong Python and at least one of C#/NET or TypeScript (Angular/React); cloud experience (Azure preferred); GitHub or Azure DevOps; SDLC, CI/CD, Agile
• Strong analytical/quantitative background (math, stats, engineering or CS) with data, models and uncertainty reasoning
• Strong domain knowledge of insurance, reinsurance or risk analytics (actuarial or catastrophe modelling) or ability to learn quickly
• Proven ability to translate concepts to working demos quickly and communicate trade-offs to seniors and engineers
• Proven ability to thrive both independently and in a team setting, with self-direction and collaboration
• Evidence of staying current with AI frontier tools/models/techniques and evaluating them for roadmap impact
• Willingness to travel for meetings/workshops and hybrid office pattern as required

• strong communication with business users and stakeholders
• self-motivation and high personal productivity
• collaboration and ability to uplift team capabilities
• Python
• C# / .NET or TypeScript (Angular/React)
• Azure cloud, Azure DevOps