Senior AI Engineer

We are looking for a Senior AI Engineer to join our team. Our client is undergoing a major shift in its insurance technology strategy, moving away from traditional infrastructure toward advanced, agent-driven AI solutions. This role puts you on a worldwide team dedicated to engineering intelligent platforms that streamline complicated insurance operations, allowing brokers to dedicate more energy to critical thinking and relationship building with clients.

Responsibilities

• Pinpoint promising areas where AI can add value across different aspects of Insurance Broking work
• Plan, construct, and roll out enterprise-ready AI platforms that simplify complex insurance operations
• Create AI-enabled tools powered by LLMs, RAG, document handling, information extraction, categorization, and agent-oriented designs
• Partner closely with brokers, underwriters, and operational teams to identify pain points and develop solutions that scale
• Manage the complete lifecycle of AI products, covering everything from initial concepts and prototypes to launch, tracking, and ongoing refinement
• Construct thorough evaluation mechanisms for AI systems, incorporating test coverage, monitoring, performance analysis, and hallucination identification
• Champion quick-turnaround experimentation and push forward innovative practices rooted in modern AI engineering
• Elevate operational performance, cut down processing timeframes, and strengthen business output through intelligent automation
• Provide direction and support to other engineers, reinforcing effective methods for delivering trustworthy AI solutions
• Explore and incorporate the latest AI innovations to tackle problems unique to the insurance field

Requirements

• A Bachelor's or Master's degree in Computer Science, Engineering, or a related area, or equivalent real-world experience
• A minimum of 3 years of relevant work history in Software Engineering, AI/ML, Machine Learning, or similar fields
• Strong working knowledge of Python and TypeScript
• Demonstrated success bringing AI-driven products from early-stage concept all the way to live deployment
• Direct experience applying machine learning models and Large Language Models (LLMs) in real settings
• Exposure to current software development methods, including CI/CD pipelines and containerized environments
• Excellent analytical capabilities, sound judgment in problem-solving, and clear communication
• Skill in translating technical material into terms that make sense for non-technical business audiences
• Excellent English communication skills (B2 level or higher)

Nice to have

• Familiarity with (Re)Insurance Underwriting Operations to deepen insight into industry-specific procedures
• Awareness of Infrastructure as Code practices, especially as they relate to security, to support consistent and protected environment builds
• Prior background within the Insurance field to inform and enrich AI solution planning
• Direct experience with Monitoring and Observability solutions to ensure ongoing visibility into system performance post-launch
• History of Technical Leadership, including directing teams and influencing the broader engineering vision