EPAM is a leading global 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 seeking a hands-on Lead AI Developer with a strong technical background to drive the adoption and practical implementation of AI-powered capabilities across the Software Development Lifecycle (SDLC). This role combines engineering execution with enablement, focusing on integrating AI tools into development workflows and scaling their adoption across the entire organization. Responsibilities Design and implement AI-powered solutions integrated into SDLC workflows (requirements, development, testing, CI/CD) Build backend services and integrations for LLM-based tooling within engineering environments Development of prototypes and production-ready implementations of AI-assisted automation Integrate AI capabilities into CI/CD pipelines, code review processes and testing frameworks Identify high-impact SDLC use cases for AI enablement Establish best practices for AI-assisted development Provide hands-on support to engineering teams adopting AI tools Define guardrails for secure and responsible AI usage Measure and report impact of AI adoption (cycle time, quality, productivity) Requirements 5+ years of engineering experience with Python (must-have), with additional knowledge of Java or Node.js considered a plus Background in integrating external APIs, including AI/LLM services Solid understanding of CI/CD pipelines and DevOps practices Expertise in microservices architecture, Docker and Kubernetes Proficiency in implementing production-grade services (scalability, monitoring, logging) Practical experience working with LLM APIs and prompt design Strong understanding of end-to-end SDLC processes Showcase of improving developer productivity through tooling Capability to drive adoption of new technical practices Strong communication skills within engineering teams Flexibility to translate AI capabilities into practical engineering improvements Comfortable running demos, workshops and internal technical sessions We offer International projects with top brands Work with global teams of highly skilled, diverse peers 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 #J-18808-Ljbffr