AWS Agentic AI Architect / Lead

AWS Agentic AI Architect / Lead

Location: Hyderabad

Experience: 10+ Years

No. of Openings: 1

Role Overview

We are looking for an experienced AWS Agentic AI Architect / Lead with strong expertise in Generative AI, multi-agent systems, and AWS AI/ML services. The ideal candidate will be responsible for designing and architecting scalable, secure, enterprise-grade agentic AI solutions using AWS services, particularly Amazon Bedrock and AWS AgentCore.

Key Responsibilities

• Design and build autonomous, multi-step agentic workflows integrating enterprise data, APIs, and business systems.

• Architect distributed multi-agent systems using AWS AgentCore for runtime isolation, long-running workloads, memory, and context management.

• Implement and deploy agentic AI solutions using Amazon Bedrock, AgentCore, and SageMaker.

• Transition agentic systems from local development environments to production-scale deployments using AgentCore Runtime and managed AWS services.

• Expose APIs, Lambda functions, and enterprise systems as agent-ready tools using AgentCore Gateway and Model Context Protocol (MCP).

• Design secure authentication, authorization, access controls, and role-based security boundaries for AI applications.

• Implement observability, telemetry, tracing, and continuous evaluation for agentic AI systems.

• Architect solutions using frameworks such as LangGraph, CrewAI, and LlamaIndex.

• Collaborate with engineering, cloud, security, and business teams to deliver scalable AI solutions.

Required Skills

• 10+ years of experience in designing and developing distributed applications.

• At least 3 years of strong experience in Generative AI and multi-agent system design.

• Strong hands-on expertise with AWS Bedrock, AWS AgentCore, and SageMaker.

• Experience with AgentCore Runtime and production deployment of agentic systems.

• Strong programming skills in Python or TypeScript.

• Experience with CrewAI, LangGraph, and/or LlamaIndex.

• Strong understanding of RAG architecture, LLM integration, and knowledge-based AI solutions.

• Strong knowledge of AWS cloud architecture and services.

• Understanding of AWS IAM, secure networking, encryption, authentication, and API management.

• Experience with MCP and agent tool integration is highly desirable.

Soft Skills

• Good communication and presentation skills.

• Strong analytical and problem-solving abilities.

• Ability to collaborate effectively with technical and business stakeholders.

• Strong team player.

Education

• Bachelor’s Degree.

How to Apply

Interested candidates can share their updated CV at [email protected].