We’re Hiring: Agentic AI Lead with AWS

Job Description : Agentic AI Lead with AWS

Experience:
12–20 Years

Location:
Hybrid / Work from any Persistent Locations across India

Employment Type:
Full-Time

Note – Need candidate who can join within 30 days

Role Overview

We are seeking an accomplished
AWS Solution Architect – Agentic AI (Lead Architect)
to spearhead the design, architecture, and implementation of enterprise-scale Agentic AI solutions on AWS. This role is ideal for a seasoned technology leader with deep expertise in AWS AI services, large-scale distributed systems, GenAI architectures, and multi-agent orchestration frameworks.

The ideal candidate will lead customer engagements, define strategic AI architectures, establish engineering best practices, and guide cross-functional teams in delivering secure, scalable, and production-ready AI applications. This is a high-impact leadership position requiring strong technical depth, architectural vision, and customer-facing consulting experience.

Key Responsibilities





Solution Architecture & Technical Leadership
- Lead end-to-end architecture, design, and implementation of enterprise-grade Agentic AI solutions on AWS.
- Define scalable, resilient, secure, and cost-effective reference architectures for GenAI and Agentic AI applications.
- Design and govern enterprise AI platforms, frameworks, and reusable architecture patterns.
- Drive architectural reviews and ensure adherence to AWS Well-Architected Framework principles.

Agentic AI & Generative AI Architecture
- Design advanced multi-agent architectures using Amazon Bedrock, Bedrock Agents, AgentCore, and associated AWS AI services.
- Architect autonomous agent ecosystems with memory management, reasoning capabilities, tool utilization, and workflow orchestration.
- Design Human-in-the-Loop (HITL) systems to support governance, compliance, and operational oversight.
- Implement Model Context Protocol (MCP) based integrations for tool enablement and contex

📌 Artificial Intelligence Engineer (Pune)
🏢 Persistent Systems
📍 Pune