About the Client
We are one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
About the Role
We are looking for an experienced engineering leader with strong software engineering fundamentals who enjoys building and operating production systems while mentoring others and driving technical excellence.
This is a hands-on leadership role focused on delivering business value through modern software engineering and practical AI adoption.
As an AI Engineering Lead, you will lead the design, development, and operation of AI-enabled software systems supporting our business. You will provide technical leadership, mentor engineers, and help establish engineering standards while remaining actively involved in architecture and delivery decisions.
You will work closely with business stakeholders, product teams, architects, and engineers to ensure solutions are scalable, reliable, and aligned with business objectives.
Responsibilities
Lead and mentor a team of engineers, fostering a culture of quality, ownership, and continuous learning
Provide technical leadership across AI-enabled software solutions and platforms
Drive implementation decisions for scalable, production-grade systems
Oversee the development of services, integrations, APIs, and workflows supporting AI and agentic applications
Ensure solutions deliver measurable business value and can be operated effectively at scale
Guide teams in applying AI technologies pragmatically and responsibly
Establish engineering standards for testing, deployment, monitoring, quality assurance, and operational excellence
Support teams in building evaluation frameworks and quality controls for AI-powered systems
Collaborate with business and technology stakeholders to prioritize and deliver impactful solutions
Help grow engineering capabilities, knowledge-sharing, and best practices within the team
Requirements
You are an experienced technical leader who combines strategic thinking with hands-on engineering expertise. You understand how to build and operate complex software systems and enjoy helping teams deliver impactful outcomes.
You are comfortable working across technology and business domains and can balance innovation with operational excellence.
Degree in Computer Science, Software Engineering, Applied Mathematics, or related field, or equivalent practical experience
Extensive experience designing, building, and operating production-grade software systems
Strong software engineering background using Python, TypeScript, Java, Kotlin, or similar technologies
Deep understanding of software architecture, engineering best practices, testing strategies, and CI/CD
Experience leading technical initiatives and mentoring engineers
Strong understanding of distributed systems, cloud environments, and modern software platforms
Ability to bridge business objectives and technical implementation
Experience driving technical decision-making in complex environments
Interest in applying AI and agentic technologies to business problems
Nice to Have Skills
Experience leading software engineering, platform engineering, AI engineering, or data engineering teams
Experience building AI-enabled applications and agentic workflows
Familiarity with LLM application patterns, RAG, tool calling, and evaluation frameworks
Experience with cloud AI services such as Azure AI
Knowledge of MLOps and model lifecycle practices
Experience with Palantir Foundry / AIP
Insurance or financial services experience