What you’ll do

• Build and operate the AI and data platform that internal engineering teams and actuaries rely on to ship use cases into production - reliably, repeatedly, at scale
• Identify recurring patterns across AI projects and abstract them into reusable infrastructure components and self-service tooling
• Design and maintain developer experience: clean APIs, CLI tooling, CI as a service, and ephemeral environments for coding agents and agentic engineering workflows
• Own operational reliability - monitoring, alerting, automation, and continuous improvement of platform systems
• Shape the direction of the platform: agentic engineering infrastructure, analytics platform development, GitHub Actions-based CI/CD, and AI tooling for the broader engineering community
• Advise internal stakeholders on AI architecture, platform standards, and technical risk - translating complex topics into accessible guidance
• Conduct technical risk assessments and develop standards for how AI systems - LLMs, agentic systems, and classical ML - are built and governed across the organisation