Senior Specialist - Architecture

Vivantify Technology Solutions India Private Limited; Hyderabad; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Vivantify Technology Solutions India Private Limited in Hyderabad is seeking a hands-on AWS AI/ML Architect or Lead to design production-scale agentic workflows using Bedrock AgentCore, SageMaker, Python/TypeScript.

You will implement secure, observable, multi-agent architectures and guide integration with enterprise systems, APIs, and open-source frameworks like LangGraph and CrewAI.

Qualifications

• Bachelor's degree with strong distributed applications experience.
• Hands-on AWS AI/ML expertise and AgentCore implementation.
• Experience with production-grade agentic architectures.

Responsibilities

• Design and build autonomous, multi-step agentic workflows for enterprise apps.
• Architect distributed multi-agent systems using AWS AgentCore for runtime isolation and long-running workloads.
• Integrate legacy APIs and AWS Lambda as agent-ready tools using AgentCore Gateway and MCP.
• Design end-to-end security controls with AWS IAM, encryption, and API management.
• Implement authentication, RBAC, and policy guardrails for AI pipelines.
• Establish real-time telemetry, tracing, observability, and continuous agent evaluation.
• Support LangGraph and CrewAI with production deployment via the AgentCore CLI.
• Collaborate with technical teams through presentations and architecture reviews.

Skills

Generative AI

Multi-Agent Systems

Distributed architecture

Python

TypeScript

Security & IAM

AWS AI/ML Services

AgentCore Runtime

MCP

Telemetry & Observability

Tools

Amazon Bedrock AgentCore

Amazon SageMaker

AWS Lambda

AgentCore Gateway

LangGraph

CrewAI

LlamaIndex

AgentCore CLI

Model Context Protocol (MCP)

Job description

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 AgentCore, Amazon SageMaker, Python/TypeScript, and modern 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 AgentCore 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 LangGraph, CrewAI, and LlamaIndex, 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 AgentCore for runtime isolation, long-running workloads, and memory/context awareness.
• Integrate legacy APIs and AWS Lambda functions as agent-ready tools using AgentCore Gateway and Model Context Protocol (MCP).
• Design end-to-end security controls using AWS IAM, encryption, API management, and AgentCore 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 LangGraph and CrewAI with production deployment through the AgentCore CLI.
• Collaborate with technical teams and stakeholders through presentations, solution discussions, and architecture reviews.

Required Skills

• AWS AI/ML Services
• Amazon Bedrock AgentCore
• Amazon SageMaker
• Generative AI and Multi-Agent Systems
• Distributed application architecture
• Python or TypeScript
• CrewAI, LangGraph, or LlamaIndex
• AWS security, IAM, encryption, and API management
• AgentCore 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 AgentCore implementation experience, and the ability to design secure, production-ready agentic architectures while effectively collaborating with enterprise teams.