Gen AI Architect

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.

Join our team as a Gen AI Architect, where you will lead the design and implementation of generative AI solutions using advanced tools and cloud platforms.

You will work closely with engineering teams to develop, fine-tune, and deploy AI models while ensuring they meet performance, security, and governance standards. If you have a strong background in AI and a passion for innovative generative technologies, we encourage you to apply.

Responsibilities

• Design and develop scalable generative AI architectures
• Build and deploy large language models and agentic systems
• Fine-tune and evaluate AI and generative AI models for production
• Collaborate with engineering teams to integrate AI solutions
• Ensure compliance with security and governance policies
• Implement retrieval-augmented generation and vector database solutions
• Manage MLOps pipelines for AI system lifecycle
• Contribute to continuous improvement of AI frameworks and tools
• Support cross-functional teams with AI technical expertise

Requirements

• Extensive experience in AI and machine learning, exceeding 12 years
• Specialized experience of at least 2 years with generative AI and large language models
• Background in traditional AI and machine learning techniques
• Expertise in deep learning methods such as LSTM, CNN, and VAE
• Proficiency with generative AI frameworks including LangChain, LlamaIndex, and Hugging Face transformers
• Familiarity with vector databases like FAISS and Qdrant
• Experience with cloud AI platforms including AWS, Azure, and GCP
• Competency in MLOps and AI model productionization
• Strong programming skills and knowledge of AI evaluation frameworks such as RAGAS and DeepEval
• Problem-solving orientation with effective cross-team collaboration

We offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)