Browse current jobs

Lead Generative AI Developer with AWS

EPAM · Gurgaon

Apply on employer website

Source and collection record

Read the employer source

Last observed by our collector: . This is not a manual review or a confirmation from the employer.

Employer requisition: bltw4sczn06r6hoixx8

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

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

Collected experience requirement

10+ years