We are looking for a Senior AI Engineer to join our team. Our client is transforming its insurance technology landscape by moving from legacy systems to next-generation Agentic AI-powered solutions. Join a global team building intelligent systems that automate complex insurance workflows, enabling brokers to focus on strategic decision-making and client relationships.
Responsibilities
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Identify high-impact opportunities for AI adoption across Insurance Broking operations
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Design, develop, and deploy production-grade AI solutions that automate complex insurance workflows
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Build AI-powered applications leveraging LLMs, RAG, document processing, information extraction, classification, and agent-based architectures
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Collaborate directly with brokers, underwriters, and operations teams to understand business challenges and deliver scalable AI solutions
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Own the end-to-end product lifecycle, from ideation and prototyping to deployment, monitoring, and continuous improvement
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Develop robust AI evaluation frameworks, including testing, monitoring, performance measurement, and hallucination detection
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Drive rapid experimentation and innovation using modern AI development practices
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Improve operational efficiency, reduce turnaround times, and increase business productivity through automation
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Mentor engineers and promote best practices for building reliable AI systems
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Research and apply emerging AI technologies to solve insurance industry challenges
Requirements
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A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
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A minimum of 3 years of relevant experience in Software Engineering, AI/ML, Machine Learning, or related domains
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Strong proficiency in Python and TypeScript
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Experience building and delivering AI-powered products from concept to production
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Hands-on experience with machine learning models and Large Language Models (LLMs)
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Experience with modern software development practices, including CI/CD and containerization
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Strong analytical, problem-solving, and communication skills
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Ability to explain technical concepts to business stakeholders
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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 better understand and support industry-specific workflows
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Knowledge of Infrastructure as Code with a focus on security, to support safe and consistent environment provisioning
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Background in the Insurance industry to bring domain context to AI solution design
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Experience with Monitoring and Observability tools to track system health and performance in production
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Technical Leadership experience to guide teams and influence engineering direction
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
