Lead AI Engineer

Description

Summary: Seeking a Lead AI Engineer to architect advanced, agent-powered AI solutions for insurance operations, freeing brokers for strategic client engagement within a diverse team. Highlights: 1. Lead AI engineering for advanced insurance tech transformation 2. Develop AI solutions using LLMs, RAG, and agent-centric architecture 3. Mentor engineers and track evolving AI capabilities in insurance We are looking for a Lead AI Engineer to join our team. Our client is undertaking a substantial overhaul of its insurance technology framework, moving beyond conventional systems toward advanced, agent\-powered AI architecture. This position places you within a geographically diverse team dedicated to engineering intelligent platforms that ease the burden of complex insurance operations, freeing brokers to invest more time in strategic thinking and building lasting client relationships. **Responsibilities** * Uncover impactful ways to weave AI into different areas of Insurance Broking activity * Plan out, develop, and launch enterprise\-scale AI platforms built to reduce complexity in insurance workflows * Construct AI\-powered solutions that draw on LLMs, RAG, document handling, data extraction, categorization approaches, and agent\-centric architecture * Team up directly with brokers, underwriters, and operations teams to uncover obstacles and design solutions capable of scaling * Hold end\-to\-end responsibility for AI products, spanning early ideation and prototyping to deployment, performance oversight, and continual improvement * Establish robust testing and assessment structures for AI platforms, covering benchmark performance, ongoing monitoring, and identification of hallucination issues * Lead swift experimentation efforts and advance progressive methodologies aligned with contemporary AI engineering trends * Elevate operational capacity, reduce time\-to\-completion, and improve overall business results through smart automation strategies * Serve as a mentor and technical resource for fellow engineers, encouraging dependable methods for AI system construction * Track evolving AI capabilities and put new technology to work solving problems particular to the insurance domain **Requirements** * A Bachelor's or Master's degree in Computer Science, Engineering, or a similar area, or equivalent hands\-on background * A minimum of 5 years of professional experience in Software Engineering, AI/ML, Machine Learning, or closely related fields * At least one year spent leading and overseeing development teams * Strong practical grasp of Python and TypeScript * Established track record of steering AI\-powered products from early concept stages through to complete production deployment * Real\-world experience implementing machine learning models and Large Language Models (LLMs) in operational contexts * Awareness of current software engineering methods, including CI/CD processes and containerized environments * Solid analytical abilities, dependable problem\-solving instincts, and confident communication skills * Talent for presenting technical ideas in a manner that business audiences can readily grasp * Excellent English communication skills (B2 level or higher) **Nice to have** * Background knowledge of (Re)Insurance Underwriting Operations to enhance familiarity with sector\-specific processes * Grasp of Infrastructure as Code concepts, with an emphasis on security, to help ensure consistent and secure environment setups * Earlier work experience in the Insurance sector to add depth and relevance to AI solution development * Direct experience using Monitoring and Observability tools to sustain visibility into system performance following release * Proven Technical Leadership experience, including steering teams and defining long\-range engineering direction **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