Job Description About Position:
We are looking for experienced Agentic AI Lead/Solution Architect with strong hands-on expertise in building enterprise-grade Agentic AI applications on AWS. The ideal candidate should have practical experience with Amazon Bedrock, Agent Core, Bedrock Agents, Knowledge Bases, MCP, and multi-agent orchestration, along with strong software engineering skills to build scalable AI-powered applications.
- Role: Agentic AI Lead/Solution Architect
- Location: All Persistent Location
- Experience: 12 to 18 Years
- Job Type: Full-Time Employment

What You'll Do:
- Lead the end-to-end architecture for enterprise Agentic AI solutions on AWS.
- Define scalable, secure, and production-ready reference architectures for AI applications.
- Design multi-agent systems using Amazon Bedrock, AgentCore, and related AWS AI services.
- Architect Retrieval-Augmented Generation (RAG) solutions using Bedrock Knowledge Bases, vector databases, and enterprise knowledge repositories.
- Design agent orchestration, memory management, tool integrations, and workflow automation.




- Define enterprise integration patterns with APIs, enterprise applications, databases, messaging platforms, and third-party services.
- Establish AI governance, guardrails, observability, evaluation, and security best practices.
- Drive technical discussions with customers, AWS teams, and internal stakeholders.
- Mentor architects and engineering teams while providing technical leadership throughout the engagement.
- Evaluate emerging AI frameworks and recommend adoption where appropriate.
- Have valuable exposure to other AWS services such as Lambda, API gateway, Step Functions, S3, DynamoDB, IAM etc.

Expertise You'll Bring:
- AWS AI
- Amazon Bedrock
- Bedrock Agents
- Amazon AgentCore
- Bedrock Knowledge Bases
- Agentic AI
- Multi-Agent Architecture
- Agent Orchestration
- Agent Memory
- MCP (Model Context Protocol)
- Tool Calling
- AI Workflow Orchestration
- Human-in-the-loop workflows
- AI

📌 Agentic AI Lead (Pune)
🏢 Persistent Systems
📍 Pune