Role & responsibilities

- Design and build autonomous multistep agentic workflows integrating enterprise data and APIs.
- Architect distributed multiagent systems utilizing AWS AgentCore for runtime isolation and longrunning workloads.
- Expose legacy APIs and Lambda functions as agentready tools via AgentCore Gateway and MCP.
- Implement endtoend security, access controls, and policy enforcement boundaries using AgentCore Identity features.
- Set up realtime telemetry, tracing, and continuous agent quality evaluation pipelines.
- Ensure framework flexibility by supporting opensource orchestration frameworks (LangGraph, CrewAI, LlamaIndex).
- Collaborate with crossfunctional teams to align solutions with enterprise architecture and compliance standards.
- Deliver client presentations, documentation, and status updates.

Mandatory skills

- AWS Bedrock & AgentCore




- Generative AI & RAG Architecture
- Python / TypeScript
- Enterprise Security (AWS IAM, encryption, secure networking)
- Cloud Architecture (AWS AI/ML ecosystem Bedrock, SageMaker)
- Agentic System Architecture
- AgentCore Implementation
- Tool Gateway Integration
- Security & Identity Management
- Observability & Evaluation

Secondary Skills

- LangGraph, CrewAI, LlamaIndex orchestration frameworks
- Solid presentation and communication skills
- Team player with ability to lead distributed AI projects

If you are interested and meet the above requirements, please share your updated profile at [email protected] . I will personally follow up with you after receiving your application.

📌 AWS Bedrock & Agentic AI Architect / Lead (Hyderabad)
🏢 Zettamine Labs
📍 Hyderabad