AWS Bedrock & Agentic AI Architect / Lead

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
• Strong 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.