Agentic AI Tech Architect (AWS)

Cognizant; Chennai District; Hybrid; INR 6,000,000 - 15,000,000; Full time

Job summary

Cognizant is seeking a Senior Architect to define the technical direction for Agentic AI on AWS, architecting secure, scalable multi‑agent systems and acting as a trusted advisor to customer executives. You’ll combine hands‑on engineering with strategic influence to move initiatives from proof‑of‑concept to production.

You’ll architect scalable, secure Agentic AI systems on AWS, build POCs and reference architectures hands‑on (Python, LangGraph, AutoGen), advise C‑level stakeholders, and lead

Qualifications

• 15+ years of experience in software architecture.
• 5+ years in production AI systems.
• Deep AWS expertise (Bedrock, SageMaker, AgentCore).
• Strong Python and TypeScript skills.
• Experience with multi-agent frameworks.
• Ability to influence senior stakeholders.

Responsibilities

• Architect scalable, secure Agentic AI systems on AWS.
• Build POCs and reference architectures hands‑on.
• Advise C‑level stakeholders and shape GTM strategy.
• Lead RAG and vector database implementations into production.
• Influence AWS GenAI/Agentic roadmap as voice of the customer.

Skills

AWS Bedrock

SageMaker

AgentCore

Python

TypeScript

Multi-agent frameworks

Architecting secure systems

Tools

LangGraph

AutoGen

Job description

Senior Architect / Architect Agentic AI (AWS)

Experience: 15+ years (5+ years in production AI systems)

Location: Chennai

We're looking for a Senior Architect to define the technical direction for Agentic AI on AWS — architecting secure, scalable multi-agent systems and acting as a trusted advisor to customer executives. You'll combine deep hands‑on engineering with strategic influence to move initiatives from proof‑of‑concept to production.

You’ll do:

• Architect scalable, secure Agentic AI systems on AWS (multi‑agent orchestration, tool use, guardrails)
• Build POCs and reference architectures hands‑on (Python, LangGraph, AutoGen)
• Advise C‑level stakeholders and shape Go‑To‑Market strategy
• Lead RAG and vector database implementations into production
• Influence AWS's GenAI/Agentic roadmap as the voice of the customer

You should have:

• Deep AWS expertise (Bedrock, SageMaker, AgentCore) and strong Python/TypeScript skills
• Hands‑on experience with multi‑agent frameworks
• Proven ability to influence senior technical and business stakeholders