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Chief Agentic System Architect

Talengage·Posted 5 days ago

Compensation

₹50.0L – ₹99.0L/yr

Location

Any Location

Experience

15–20 years

Required Skills

Agentic AISystem ArchitectSolution ArchitectTypeScript.NetNode.jsLLM

About the Role

Description :

Are you ready to redefine how software is built in the AI era

Were looking for a Chief Agentic Systems Architect to transform legacy platforms into high-velocity, AI-native, agent-operable systems.

This is not a conventional architecture role you will operate at the intersection of software design, AI-agent orchestration, and engineering governance, building systems where autonomous agents can safely write, refactor, and ship production code.

Why Join :

- High ownership, flexibility, and real impact

- Work across multiple products, industries, and technologies

- Fast-paced, outcome-driven environment

- Remote-first flexibility

- Strong growth pathways across engineering & leadership

Role Overview :

You will lead the transformation of 10+ year legacy systems into modular, scalable architectures designed for AI-driven execution.

What Youll Do :

- Agent-Operable Architecture

- Break down monoliths into modular, agent-readable systems

- Drive modernization using the Strangler Pattern

- Implement SOLID principles, Dependency Injection & Hexagonal Architecture

- Agentic Framework & MCP Leadership

- Design AI context layers (Skills, Rules, Commands)

- Build Model Context Protocol (MCP) interfaces

- Lead contract-first API architecture for AI-agent interaction

- Engineering Governance

- Act as gatekeeper for AI-generated code

- Enforce TDD and robust testing frameworks

- Optimize agent workflows for speed, cost & reliability

What Were Looking For :

- 15+ years in software architecture / platform engineering

- Strong experience modernizing complex legacy systems

- Hands-on expertise in TypeScript, .NET, Node.js

- Deep understanding of distributed systems & API design

- Experience with LLMs, AI-assisted development, or agentic systems

- Strong bias for clean, scalable, production-grade systems

Nice to Have :

- Experience with global or remote teams

- Background in SaaS transformation or high-growth environments

- Comfortable in fast-paced, ambiguous setups

Why This Role Matters :

- Youre not just adding AI features.

- Youre building the foundation where AI can autonomously create and evolve software.

- This is a career-defining opportunity to shape the future of engineering.


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