Lead AI Engineer

Description

Summary: Lead AI Engineer to transform insurance technology with sophisticated, agent-based AI systems, building smart platforms and simplifying complex functions. Highlights: 1. Spearhead AI product journey from concept to enhancement 2. Design, build, and deploy enterprise-grade AI platforms 3. Collaborate with brokers and operations to engineer solutions 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