Senior AI Engineer

Description

Summary: Seeking a Senior AI Engineer to engineer intelligent platforms and streamline insurance operations with advanced, agent-driven AI solutions. Highlights: 1. Worldwide team dedicated to engineering intelligent platforms 2. Pioneer AI solutions for complex insurance operations 3. Opportunity to explore and incorporate latest AI innovations We are looking for a Senior AI Engineer to join our team. Our client is undergoing a major shift in its insurance technology strategy, moving away from traditional infrastructure toward advanced, agent\-driven AI solutions. This role puts you on a worldwide team dedicated to engineering intelligent platforms that streamline complicated insurance operations, allowing brokers to dedicate more energy to critical thinking and relationship building with clients. **Responsibilities** * Pinpoint promising areas where AI can add value across different aspects of Insurance Broking work * Plan, construct, and roll out enterprise\-ready AI platforms that simplify complex insurance operations * Create AI\-enabled tools powered by LLMs, RAG, document handling, information extraction, categorization, and agent\-oriented designs * Partner closely with brokers, underwriters, and operational teams to identify pain points and develop solutions that scale * Manage the complete lifecycle of AI products, covering everything from initial concepts and prototypes to launch, tracking, and ongoing refinement * Construct thorough evaluation mechanisms for AI systems, incorporating test coverage, monitoring, performance analysis, and hallucination identification * Champion quick\-turnaround experimentation and push forward innovative practices rooted in modern AI engineering * Elevate operational performance, cut down processing timeframes, and strengthen business output through intelligent automation * Provide direction and support to other engineers, reinforcing effective methods for delivering trustworthy AI solutions * Explore and incorporate the latest AI innovations to tackle problems unique to the insurance field **Requirements** * A Bachelor's or Master's degree in Computer Science, Engineering, or a related area, or equivalent real\-world experience * A minimum of 3 years of relevant work history in Software Engineering, AI/ML, Machine Learning, or similar fields * Strong working knowledge of Python and TypeScript * Demonstrated success bringing AI\-driven products from early\-stage concept all the way to live deployment * Direct experience applying machine learning models and Large Language Models (LLMs) in real settings * Exposure to current software development methods, including CI/CD pipelines and containerized environments * Excellent analytical capabilities, sound judgment in problem\-solving, and clear communication * Skill in translating technical material into terms that make sense for non\-technical business audiences * Excellent English communication skills (B2 level or higher) **Nice to have** * Familiarity with (Re)Insurance Underwriting Operations to deepen insight into industry\-specific procedures * Awareness of Infrastructure as Code practices, especially as they relate to security, to support consistent and protected environment builds * Prior background within the Insurance field to inform and enrich AI solution planning * Direct experience with Monitoring and Observability solutions to ensure ongoing visibility into system performance post\-launch * History of Technical Leadership, including directing teams and influencing the broader engineering vision **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