Lead AI Engineer

Description

Summary: Lead AI Engineer to transform insurance technology with sophisticated, agent-based AI systems, simplifying complex functions and empowering brokers. Highlights: 1. Spearhead AI platforms and tools for complex insurance processes 2. Collaborate with stakeholders to engineer scalable AI solutions 3. Lead the full AI product journey from concept to enhancement We are looking for a Lead AI Engineer to join our team. Our client is in the midst of a significant transformation of its insurance technology approach, transitioning from legacy platforms to sophisticated, agent\-based AI systems. In this role, you'll join a globally distributed team focused on constructing smart platforms that simplify complex insurance functions, giving brokers more room to focus on strategic thinking and cultivating client relationships. **Responsibilities** * Recognize meaningful opportunities to apply AI across various functions within the Insurance Broking domain * Design, build, and deploy enterprise\-grade AI platforms aimed at simplifying intricate insurance processes * Build AI\-driven tools that harness LLMs, RAG, document processing, data extraction, classification methods, and agent\-based system design * Collaborate directly with brokers, underwriters, and operations personnel to surface challenges and engineer solutions built for scale * Take ownership of the full AI product journey, from concept development and prototyping through launch, performance tracking, and continuous enhancement * Develop rigorous testing and evaluation frameworks for AI systems, including performance benchmarking, monitoring, and hallucination detection capabilities * Spearhead rapid experimentation cycles and drive forward\-thinking practices grounded in current AI development standards * Increase operational throughput, minimize turnaround periods, and drive greater business productivity via intelligent automation solutions * Offer mentorship and technical guidance to engineering peers, promoting reliable approaches to AI system development * Stay ahead of emerging AI trends and apply new technologies to address insurance\-specific business problems **Requirements** * A Bachelor's or Master's degree in Computer Science, Engineering, or an equivalent field, or comparable practical experience * At least 5 years of relevant professional experience in Software Engineering, AI/ML, Machine Learning, or adjacent disciplines * A minimum of one year of experience leading and managing development teams * Proficient working knowledge of Python and TypeScript * Proven history of guiding AI\-powered products from conceptual stages through to full\-scale production launch * Hands\-on background applying machine learning models and Large Language Models (LLMs) within practical use cases * Familiarity with modern software engineering techniques, including CI/CD workflows and containerized deployment * Strong analytical mindset, effective problem\-solving skills, and clear, confident communication * Ability to convey complex technical concepts in language accessible to business stakeholders * Excellent English communication skills (B2 level or higher) **Nice to have** * Working knowledge of (Re)Insurance Underwriting Operations to build stronger context around industry workflows * Understanding of Infrastructure as Code principles, with particular attention to security, to enable reliable and secure environment configuration * Previous experience working within the Insurance industry to strengthen the relevance of AI solution design * Practical experience with Monitoring and Observability platforms to maintain ongoing insight into system behavior after deployment * Demonstrated Technical Leadership background, including team direction and shaping long\-term engineering strategy **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