Lead AI Engineer

Description

Summary: Lead AI Engineer to advance the insurance sector with agent-based AI technology, developing smart automation products for sophisticated insurance activities. Highlights: 1. Advance insurance with agent-based AI technology 2. Develop smart automation products for insurance activities 3. Coach engineering colleagues and establish sound AI practices 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