Lead Generative AI Developer With AWS

We are looking for a Lead Generative AI Developer with AWS to design and build cutting-edge GenAI solutions using Amazon Bedrock and similar platforms. In this role, you will develop AI-powered applications, integrate foundation models with enterprise systems and ensure secure, responsible AI practices across business scenarios.

Responsibilities

• Design and build GenAI solutions using Amazon Bedrock or similar GenAI platforms
• Integration with foundation models such as Anthropic Claude and Titan
• Perform prompt engineering and optimization
• Develop RAG (Retrieval Augmented Generation) architectures
• Create AI-powered applications such as chatbots, copilots, knowledge assistants and document processing solutions
• Evaluate and fine-tune LLM-based use cases for business scenarios
• Integrate GenAI models with enterprise applications and APIs
• Implement secure AI architectures aligned with enterprise and regulatory standards
• Ensure data privacy, model governance and responsible AI practices
  
  

• Bachelor's or master's degree in Computer Science, Engineering or related field
• 10+ years of overall experience in IT and 5+ years in cloud architecture
• Hands-on experience with AWS cloud services such as EC2, S3 and Lambda, as well as RDS, VPC and IAM
• Proven experience with Amazon Bedrock or similar GenAI platforms
• Expertise in LLMs, prompt engineering and embeddings alongside RAG frameworks
• Knowledge of programming languages such as Python, React or Node.js
• Proficiency in designing API-driven and microservices architectures
  
  

• Familiarity with LangChain, LlamaIndex or similar frameworks
• Knowledge of vector databases such as OpenSearch, Pinecone or FAISS
• Understanding of MLOps and model lifecycle management
• Exposure to multi-cloud environments such as Azure or OpenAI
  
  

• 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.)