About Position:

We are seeking a highly experienced AWS Agentic AI Solutions Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI and Agentic AI solutions on AWS. The ideal candidate will possess deep expertise across the AWS AI ecosystem, including Amazon Bedrock, Bedrock Agents, AgentCore, Knowledge Bases, MCP (Model Context Protocol), Retrieval-Augmented Generation (RAG), and multi-agent orchestration frameworks. This role requires a strong technical leader capable of defining enterprise architecture strategies, driving AI transformation programs, mentoring engineering teams, and collaborating with customers to deliver scalable, secure, and production-ready AI solutions.

• Role: AWS Solution Architect
• Location: All Persistent Locations
• Experience: 12 to 15 Years
• Job Type: Full Time Employment

What You'll Do:

• Strong hands-on expertise in AWS cloud architecture and enterprise application design.
• Proven experience designing large-scale cloud-native applications and distributed systems.
• Deep expertise in Amazon Bedrock,



Bedrock Agents, AgentCore, and Knowledge Bases.
• Strong understanding of Agentic AI architectures and multi-agent orchestration frameworks.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
• Knowledge of Model Context Protocol (MCP) and AI agent communication patterns.
• Experience developing AI-powered enterprise applications using Generative AI technologies.
• Solid understanding of Large Language Models (LLMs), prompt engineering, orchestration frameworks, and AI solution design.
• Experience integrating enterprise systems, APIs, data platforms, and cloud services with AI applications.
• Strong expertise in Microservices Architecture, API-led Architecture, and Event-Driven Systems.
• Experience designing highly scalable, secure, resilient, and cost-effective cloud architectures.
• Knowledge of modern software engineering, DevOps, CI/CD, Infrastructu

📌 AWS Solution Architect (Pune)
🏢 Persistent Systems
📍 Pune