We are looking for a Senior AI Engineer to help modernize insurance technology through next-generation Agentic AI solutions. You will join a global team creating intelligent products that streamline complex insurance processes, allowing brokers to devote more time to strategic decisions and customer relationships
Responsibilities
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Assess insurance broking processes to uncover valuable opportunities for AI-driven automation and improvement
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Architect, build, and release enterprise-ready AI products that simplify complex insurance-related workflows
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Develop intelligent applications using Large Language Models, Retrieval-Augmented Generation, document intelligence, information extraction, classification, and agentic solution patterns
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Partner with brokers, underwriters, and operational stakeholders to translate real business needs into scalable technical solutions
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Lead AI initiatives throughout the full delivery cycle, from early discovery and proof of concept through production rollout, monitoring, and iteration
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Establish comprehensive evaluation practices for AI systems, covering quality testing, performance tracking, observability, and hallucination identification
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Promote fast-paced experimentation by applying current AI engineering tools, methods, and delivery practices
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Use automation to increase productivity, shorten processing timelines, and improve operational outcomes across the business
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Support the growth of other engineers through mentoring and by championing dependable AI engineering standards
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Investigate emerging AI capabilities and apply relevant innovations to challenges within the insurance sector
Requirements
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At least 3 years of professional experience in software engineering, artificial intelligence, machine learning, or a closely related technical discipline
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Strong programming capability in Python and TypeScript for developing and maintaining AI-enabled applications
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Proven experience taking AI products from initial concept and prototyping through successful production deployment
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Practical expertise working with machine learning techniques, models, and Large Language Models
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Familiarity with modern engineering workflows, including continuous integration and continuous delivery pipelines as well as containerized deployments
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Well-developed analytical and troubleshooting skills for resolving complex technical and business problems
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Effective communication skills with the ability to clearly present technical topics to non-technical business audiences
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English proficiency at B2 level or above, both written and spoken
Nice to have
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Experience with reinsurance or insurance underwriting operations and the workflows that support these functions
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Knowledge of the insurance industry, including its business processes, systems, and regulatory considerations
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Exposure to Infrastructure as Code practices, particularly for implementing secure and repeatable cloud environments
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Familiarity with monitoring and observability solutions for tracking the reliability, performance, and behavior of production systems
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Technical leadership experience, including guiding engineering decisions and supporting teams in delivering high-quality solutions
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
