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
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Pinpoint promising areas where AI can add value across different aspects of Insurance Broking work
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Plan, construct, and roll out enterprise-ready AI platforms that simplify complex insurance operations
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Create AI-enabled tools powered by LLMs, RAG, document handling, information extraction, categorization, and agent-oriented designs
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Partner closely with brokers, underwriters, and operational teams to identify pain points and develop solutions that scale
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Manage the complete lifecycle of AI products, covering everything from initial concepts and prototypes to launch, tracking, and ongoing refinement
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Construct thorough evaluation mechanisms for AI systems, incorporating test coverage, monitoring, performance analysis, and hallucination identification
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Champion quick-turnaround experimentation and push forward innovative practices rooted in modern AI engineering
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Elevate operational performance, cut down processing timeframes, and strengthen business output through intelligent automation
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Provide direction and support to other engineers, reinforcing effective methods for delivering trustworthy AI solutions
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Explore and incorporate the latest AI innovations to tackle problems unique to the insurance field
Requirements
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A Bachelor's or Master's degree in Computer Science, Engineering, or a related area, or equivalent real-world experience
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A minimum of 3 years of relevant work history in Software Engineering, AI/ML, Machine Learning, or similar fields
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Strong working knowledge of Python and TypeScript
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Demonstrated success bringing AI-driven products from early-stage concept all the way to live deployment
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Direct experience applying machine learning models and Large Language Models (LLMs) in real settings
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Exposure to current software development methods, including CI/CD pipelines and containerized environments
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Excellent analytical capabilities, sound judgment in problem-solving, and clear communication
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Skill in translating technical material into terms that make sense for non-technical business audiences
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Excellent English communication skills (B2 level or higher)
Nice to have
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Familiarity with (Re)Insurance Underwriting Operations to deepen insight into industry-specific procedures
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Awareness of Infrastructure as Code practices, especially as they relate to security, to support consistent and protected environment builds
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Prior background within the Insurance field to inform and enrich AI solution planning
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Direct experience with Monitoring and Observability solutions to ensure ongoing visibility into system performance post-launch
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History of Technical Leadership, including directing teams and influencing the broader engineering vision
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
