Join our international team as a Lead AI Engineer and play a key role in advancing the insurance sector with agent-based AI technology. You will develop smart automation products that handle sophisticated insurance activities, giving brokers greater capacity to focus on advisory work and stronger client engagement
Responsibilities
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Examine broking activities to determine where intelligent automation can deliver the greatest operational benefit
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Create, engineer, and launch resilient AI platforms designed to handle intricate insurance business processes
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Deliver AI-driven solutions that combine LLMs, RAG techniques, document understanding, data extraction, categorization, and multi-agent designs
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Engage with brokerage, underwriting, and operations specialists to convert operational pain points into practical, scalable AI products
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Manage the complete development path for AI offerings, starting with discovery and prototypes and continuing through release, measurement, and enhancement
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Create rigorous methods for assessing AI quality, incorporating validation, system metrics, production visibility, and detection of inaccurate model outputs
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Encourage an innovation-focused culture through rapid trials of new AI technologies, engineering approaches, and tooling
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Introduce automation capabilities that improve throughput, accelerate service delivery, and strengthen organizational effectiveness
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Coach engineering colleagues while establishing sound practices for creating stable and trustworthy AI applications
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Evaluate developing AI advancements and use suitable technologies to address insurance-specific business needs
Requirements
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5 or more years of industry experience in software development, AI, machine learning, or another relevant technology area
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A minimum of one year spent supervising or coordinating software engineering teams
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Advanced Python and TypeScript skills for building, extending, and supporting AI-based software products
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Demonstrated ability to bring AI initiatives from early exploration and proof of value through to live production use
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Hands-on understanding of machine learning approaches, predictive models, and Large Language Model technologies
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Knowledge of contemporary delivery processes, including CI/CD automation and deploying workloads through containers
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Strong critical-thinking and diagnostic abilities to tackle demanding business and engineering issues
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Confidence in communicating complex technical subjects in an accessible manner to business partners
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Professional written and spoken English skills at B2 level or higher
Nice to have
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Background in reinsurance or underwriting operations, with an understanding of the associated business procedures
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Awareness of insurance domain practices, platforms, operational models, and compliance requirements
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Experience defining secure, repeatable infrastructure environments through Infrastructure as Code methods
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Knowledge of observability and monitoring tools used to assess system health, responsiveness, reliability, and production behavior
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Experience providing technical direction, influencing architectural choices, and helping delivery teams achieve strong engineering outcomes
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
