We are looking for a Senior AI Engineer to join our team. Our client is reshaping its approach to insurance technology, shifting away from outdated systems toward cutting-edge, Agentic AI-driven solutions. You'll become part of an international team focused on developing smart systems capable of automating intricate insurance processes, freeing up brokers to concentrate on high-value decisions and stronger client partnerships.
Responsibilities
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Spot valuable opportunities to introduce AI across various functions within Insurance Broking
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Architect, build, and launch production-ready AI systems designed to streamline intricate insurance processes
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Develop AI-driven applications using LLMs, RAG, document processing, data extraction, classification techniques, and agent-based frameworks
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Work hand-in-hand with brokers, underwriters, and operations staff to grasp business pain points and craft scalable AI-based solutions
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Take full accountability for the product journey, spanning ideation, prototyping, launch, ongoing monitoring, and iterative refinement
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Build comprehensive AI evaluation systems covering testing, performance tracking, monitoring, and detection of hallucinations
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Lead fast-paced experimentation and foster innovation by applying current AI engineering methodologies
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Boost operational output, shorten processing times, and enhance overall business efficiency through smart automation
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Guide and support fellow engineers while championing sound practices for developing dependable AI systems
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Investigate and integrate cutting-edge AI advancements to address challenges specific to the insurance sector
Requirements
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A Bachelor's or Master's degree in Computer Science, Engineering, or a comparable discipline, or equivalent hands-on experience
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At least 3 years of applicable background in Software Engineering, AI/ML, Machine Learning, or closely related areas
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Solid command of Python and TypeScript
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Track record of taking AI-based products from initial concept through to full production
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Practical experience working with machine learning models and Large Language Models (LLMs)
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Familiarity with contemporary software engineering approaches, such as CI/CD and containerization
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Sharp analytical thinking, strong problem-solving ability, and effective communication skills
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Capacity to break down technical topics in a way that resonates with business-side stakeholders
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Excellent English communication skills (B2 level or higher)
Nice to have
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Exposure to (Re)Insurance Underwriting Operations to strengthen understanding of sector-specific processes
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Understanding of Infrastructure as Code, particularly from a security standpoint, to enable secure and repeatable environment setup
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Prior experience within the Insurance sector to add valuable context to AI solution development
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Hands-on work with Monitoring and Observability tooling to maintain visibility into production system performance
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Experience in a Technical Leadership capacity, guiding teams and shaping engineering strategy
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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
