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[833QHA1J] AWS Bedrock & Agentic AI Solutions Architect

  • Source: LinkedIn
  • ZettaMine Labs Pvt. Ltd.
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Hello All,

Greetings from ZettaMine!!!

Role: AWS Bedrock & Agentic AI Solutions Architect

Location: Hyderabad

Years of Experience: 10+ Years

Notice Period: Immediate Joiners

Role Summary :

We are seeking an Architect / Lead with hands‑on expertise in AWS AgentCore and Agentic AI Solutions . The role involves designing and implementing autonomous multi‑agent systems, integrating enterprise data and APIs, and ensuring secure, scalable deployments on AWS.

Primary Skills :

  • 10+ years of experience in designing distributed applications, with at least 3 years focused on Generative AI and multi‑agent system design .
  • Deep practical expertise in the AWS AI/ML ecosystem , notably Amazon Bedrock AgentCore and SageMaker .
  • Hands‑on experience transitioning agentic systems from local environments to production scale using AgentCore Runtime and managed services.
  • Strong proficiency in Python or TypeScript , with experience using agent frameworks such as CrewAI , LangGraph , and LlamaIndex .
  • Deep understanding of enterprise security secure networking, AWS IAM, encryption (data at rest/in transit), and API management within AI pipelines.

Key Responsibilities

  • Agentic System Architecture: Design and build autonomous multi‑step agentic workflows integrating enterprise data, APIs, and systems.
  • AgentCore Implementation: Architect distributed multi‑agent systems utilizing AWS AgentCore for runtime isolation, long‑running workloads, and memory/context awareness.
  • Tool Gateway Integration: Expose legacy APIs and Lambda functions as agent‑ready tools via AgentCore Gateway and the Model Context Protocol (MCP) .
  • Security & Identity Management: Design end‑to‑end security access controls and policy enforcement boundaries, including automated authentication and role‑based guardrails using AgentCore Identity features.
  • Observability & Evaluation: Set up real‑time telemetry, tracing, and continuous agent quality evaluation pipelines.
  • Framework Flexibility: Architect solutions supporting open‑source orchestration frameworks (LangGraph, CrewAI) while ensuring seamless deployment via the AgentCore CLI.

Interested candidates share your updated CV to [email protected] or WhatsApp to 8977318915.

Thanks& Regards,

Praneeth.N

Skills

  • amazon-web-services
  • bedrock
  • aws-managed-services
  • Python
  • TypeScript
  • microsoft-typescript
  • crewai
  • LangGraph
  • LlamaIndex
  • aws-iam
  • guardrails
  • WhatsApp
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