Location: Hyderabad

Experience: 7–11 Years

About the Role

We are seeking a hands-on AWS AI/ML Architect or Lead with strong experience in Generative AI, multi-agent systems, and distributed application architecture. The role focuses on designing and deploying production-scale agentic solutions using Amazon Bedrock Agent Core, Amazon Sage Maker, Python/Type Script, and up-to-date agent frameworks.

Job Description

The role involves architecting autonomous, multi-step agentic workflows that integrate with enterprise data, APIs, and business systems. The candidate will help transition agentic applications from local environments to production using AWS Agent Core Runtime and related managed services.

The position requires strong expertise in enterprise security, identity management, observability, API integration, and agent orchestration. The architect will also work with frameworks such as Lang Graph, CrewAI, and Llama Index, ensuring scalable and secure deployment.

Key Responsibilities

- Design and build autonomous, multi-step agentic workflows for enterprise applications.
- Architect distributed multi-agent systems using AWS Agent Core for runtime isolation, long-running workloads, and memory/context awareness.
- Integrate legacy APIs and AWS Lambda functions as agent-ready tools using Agent Core Gateway and Model Context Protocol (MCP).
- Design end-to-end security controls using AWS IAM, encryption, API management,



and Agent Core Identity capabilities.
- Implement authentication, role-based access controls, and policy guardrails for AI pipelines.
- Establish real-time telemetry, tracing, observability, and continuous agent evaluation processes.
- Support open-source orchestration frameworks such as Lang Graph and CrewAI with production deployment through the Agent Core CLI.
- Collaborate with technical teams and stakeholders through presentations, solution discussions, and architecture reviews.

Required Skills

- AWS AI/ML Services
- Amazon Bedrock Agent Core
- Amazon Sage Maker
- Generative AI and Multi-Agent Systems
- Distributed application architecture
- Python or Type Script
- CrewAI, Lang Graph, or Llama Index
- AWS security, IAM, encryption, and API management
- Agent Core Runtime, Gateway, Identity, and CLI
- Model Context Protocol (MCP)
- Agent observability, telemetry, and evaluation

Mandatory Skills

- AWS AI Services

Candidate Profile

Bachelor's degree with approximately 10 years of experience in designing distributed applications, including at least 3 years of strong focus on Generative AI and multi-agent systems. The ideal candidate will have hands-on AWS AI/ML expertise, strong Agent Core implementation experience, and the ability to design secure, production-ready agentic architectures while effectively collaborating with enterprise teams.

Originally posted on Himalayas

📌 Senior Specialist - Architecture (India)
🏢 Vivantify Technology Solutions India
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