Lead AI Engineer

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

We offer
International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn