Lead Generative AI Developer with AWS

About the Position

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

Requirements

• 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

Nice to Have

• 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

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.)