EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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 engine

📌 Lead AI Engineer (México)
🏢 Epam Systems
📍 México