AWS Bedrock GenAI Lead Developer

Job Description - AWS Bedrock GenAI Lead Developer

About the Role :

We are seeking an experienced AWS Bedrock GenAI Developer to lead the design, build, and optimize generative AI applications leveraging Amazon Bedrock, foundation models (FMs), and retrieval-augmented generation (RAG) pipelines. The ideal candidate will have strong expertise in cloud-native development, Amazon Agent Framework (AAF), StreAmlined Agents (Strend Agents), and the AWS Bedrock Python SDK for production-grade GenAI solutions.

Key Responsibilities :

• Develop and deploy GenAI applications using Amazon Bedrock and the Bedrock Python SDK.
• Build and orchestrate AI agents using the Amazon Agent Framework (AAF) and Strend Agents for enterprise automation.
• Design retrieval-augmented generation (RAG) workflows, integrating Bedrock with vector databases (Amazon OpenSearch, Pinecone, Qdrant, or Weaviate).
• Implement agent-based workflows with memory, tool integration, and multi-agent collaboration.
• Apply prompt engineering, fine-tuning, and evaluation techniques to improve reliability, grounding, and response accuracy.
• Integrate Bedrock agents with enterprise APIs, structured / unstructured data sources, and SaaS platforms.
• Leverage AWS services (Lambda, Step Functions, DynamoDB, S3, API Gateway, SageMaker, Kendra) to build scalable and secure GenAI solutions.
• Work with LangChain, LangGraph, or Semantic Kernel alongside Bedrock agents when required.
• Ensure best practices in security, governance, and compliance for AI workloads on AWS.
• Collaborate with product teams and architects to design agent-driven enterprise applications.

Required Qualifications :

Preferred Skills :