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
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Recognize meaningful opportunities to apply AI across various functions within the Insurance Broking domain
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Design, build, and deploy enterprise-grade AI platforms aimed at simplifying intricate insurance processes
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Build AI-driven tools that harness LLMs, RAG, document processing, data extraction, classification methods, and agent-based system design
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Collaborate directly with brokers, underwriters, and operations personnel to surface challenges and engineer solutions built for scale
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Take ownership of the full AI product journey, from concept development and prototyping through launch, performance tracking, and continuous enhancement
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Develop rigorous testing and evaluation frameworks for AI systems, including performance benchmarking, monitoring, and hallucination detection capabilities
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Spearhead rapid experimentation cycles and drive forward-thinking practices grounded in current AI development standards
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Increase operational throughput, minimize turnaround periods, and drive greater business productivity via intelligent automation solutions
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Offer mentorship and technical guidance to engineering peers, promoting reliable approaches to AI system development
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Stay ahead of emerging AI trends and apply new technologies to address insurance-specific business problems
Requirements
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A Bachelor's or Master's degree in Computer Science, Engineering, or an equivalent field, or comparable practical experience
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At least 5 years of relevant professional experience in Software Engineering, AI/ML, Machine Learning, or adjacent disciplines
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A minimum of one year of experience leading and managing development teams
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Proficient working knowledge of Python and TypeScript
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Proven history of guiding AI-powered products from conceptual stages through to full-scale production launch
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Hands-on background applying machine learning models and Large Language Models (LLMs) within practical use cases
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Familiarity with modern software engineering techniques, including CI/CD workflows and containerized deployment
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Strong analytical mindset, effective problem-solving skills, and clear, confident communication
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Ability to convey complex technical concepts in language accessible to business stakeholders
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Excellent English communication skills (B2 level or higher)
Nice to have
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Working knowledge of (Re)Insurance Underwriting Operations to build stronger context around industry workflows
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Understanding of Infrastructure as Code principles, with particular attention to security, to enable reliable and secure environment configuration
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Previous experience working within the Insurance industry to strengthen the relevance of AI solution design
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Practical experience with Monitoring and Observability platforms to maintain ongoing insight into system behavior after deployment
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Demonstrated Technical Leadership background, including team direction and shaping long-term engineering strategy
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
