Design and lead enterprise agentic AI architectures on AWS, including multi-agent workflows, RAG solutions, LLM integrations, and API-based tools. Build production systems with Bedrock, AgentCore, SageMaker, LangGraph, CrewAI, and LlamaIndex. Establish security controls, identity management, guardrails, observability, tracing, evaluation pipelines, and managed-service deployments. Collaborate with enterprise teams and communicate architecture decisions effectively.
HIRING | AWS AGENTIC AI ARCHITECT / LEAD
Location: Hyderabad
Experience: 10+ Years
Salary: ₹22–24 LPA
ROLE OVERVIEWWe are looking for an experienced AWS Agentic AI Architect / Lead with strong expertise in Generative AI, multi-agent systems, AWS Bedrock, AgentCore, and enterprise AI architecture.
AWS Bedrock & Agentic AI Solutions
AWS AgentCore
Knowledge Bases & Intelligent Agent Development
AWS AI/ML Services
Generative AI & RAG Architecture
LLM Integration
Python or TypeScript
Cloud & AI Platform Architecture
KEY REQUIREMENTS• 10+ years of experience in designing distributed applications, with 3+ years focused on Generative AI and multi-agent systems.
• Strong hands-on experience with Amazon Bedrock, AgentCore & SageMaker.
• Experience deploying agentic solutions to production using AgentCore Runtime and managed services.
• Strong knowledge of CrewAI, LangGraph and LlamaIndex.
• Experience with enterprise security including AWS IAM, secure networking, encryption and API management.
KEY RESPONSIBILITIES• Design autonomous, multi-step agentic AI workflows integrating enterprise data, APIs and systems.
• Architect multi-agent solutions using AWS AgentCore.
• Integrate APIs/Lambda as agent tools using AgentCore Gateway & MCP.
• Implement identity, access controls and security guardrails.
• Build observability, tracing and AI evaluation pipelines.
• Support frameworks such as LangGraph and CrewAI and production deployment via AgentCore CLI.
Education: Bachelor’s Degree
Soft Skills: Good communication, presentation & teamwork.
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