Note: The job is a remote job and is open to candidates in USA. EPAM Systems is building content intelligence applications that leverage diffusion models for high-quality content generation and analysis at scale. As a Lead AI Engineer, you will be responsible for architecting and implementing applications, developing intelligent agents, and collaborating with cross-functional teams to integrate solutions into broader product ecosystems.
Responsibilities
- Architect, implement, and support content intelligence applications that apply diffusion models to automate content creation and analysis
- Build and refine harnesses and pipelines for model training, evaluation, and deployment using platforms such as Firefly
- Develop intelligent agents and agentic workflows to automate and simplify content-focused processes
- Design and roll out MCPs to provide scalable, modular content processing capabilities
- Create and maintain evaluation frameworks to track and improve model and agent performance
- Collaborate with cross-functional teams to integrate content intelligence solutions into broader product ecosystems
- Stay current on advances in generative AI, diffusion models, and content intelligence technologies
Skills
- Proven track record of 5 years in AI/ML engineering, with strong Python skills and demonstrated success building and deploying ML models
- Hands-on experience with generative AI, especially diffusion models (such as Stable Diffusion and Denoising Diffusion Probabilistic Models)
- Solid background in content generation and analysis techniques, including NLP and computer vision
- Practical experience with agent frameworks and building agentic workflows (e.g., LangChain, OpenAI Agents, or custom agent architectures)
- Demonstrated ability to build, maintain, and iterate on evaluation frameworks for AI models
- Working knowledge of orchestration tools and harnesses for training and deploying models (e.g., Firefly, MLflow, Kubeflow)
- Strong analytical skills and comfort solving problems in a fast-moving, highly collaborative environment
- Excellent communication skills for cross-team coordination and clear documentation
- English proficiency at B2 (Upper-Intermediate) level or above
- Graduate degree in Computer Science, Artificial Intelligence, or a comparable field
- Experience with cloud platforms (AWS, GCP, Azure) to scale AI deployments
- Working knowledge of containerization and orchestration tools such as Docker and Kubernetes
Benefits
- 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
Company Overview
EPAM leverages its core engineering expertise as a leading global product development and digital platform engineering services company. It was founded in 1993, and is headquartered in Newtown, Pennsylvania, USA, with a workforce of 10001+ employees. Its website is https://www.epam.com.Company H1B Sponsorship
EPAM Systems has a track record of offering H1B sponsorships, with 11 in 2026, 120 in 2025, 172 in 2024, 232 in 2023, 373 in 2022, 359 in 2021, 502 in 2020. Please note that this does not guarantee sponsorship for this specific role.