AWS Bedrock & Agentic AI Architect / Lead

Zettamine Labs; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Zettamine Labs is seeking a senior AI/ML architect to design and implement autonomous, multistep agentic workflows that connect enterprise data and APIs. You will architect distributed multiagent systems using AWS Bedrock and AgentCore, exposing legacy APIs as agentready tools via Gateway and MCP, with strong emphasis on security and policy enforcement.

You will set up real-time telemetry, tracing, and continuous agent quality evaluation pipelines while ensuring openness to LangGraph, CrewAI and

Qualifications

• Experience designing autonomous multistep agentic workflows across enterprise data and APIs.
• Proven ability to architect distributed multiagent systems with isolation and scalability.
• Experience exposing legacy APIs and Lambda functions as agentready tools.
• Strong foundation in security, encryption, and IAM in AWS.
• Hands-on with observable telemetry, tracing, and evaluation pipelines.
• Familiarity with LangGraph, CrewAI, LlamaIndex orchestration frameworks.

Responsibilities

• Design and build autonomous multistep agentic workflows integrating data and APIs.
• Architect distributed multiagent systems using AgentCore for isolation and scale.
• Expose legacy APIs/Lambda as agentready tools via Gateway and MCP.
• Implement end-to-end security, access controls, and policy enforcement.
• Set up real-time telemetry, tracing, and quality evaluation pipelines.
• Ensure framework flexibility with opensource orchestration tools.

Skills

AWS Bedrock & AgentCore

Generative AI

Python

TypeScript

Enterprise Security

Cloud Architecture

Agentic System Architecture

AgentCore Implementation

Observability & Evaluation

Security & Identity Management

Tools

LangGraph

CrewAI

LlamaIndex

AWS IAM

Tool Gateway Integration

Job description

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