THE POSITION
We are looking for a Chief Agentic Systems Architect to spearhead the evolution of a 10+ year
legacy codebase into a modern, agent-ready, high-velocity platform.
This position lives at the crossroads of systems architecture, AI agent orchestration, and
engineering oversight. You will define system design patterns, MCP interfaces, and intelligent
context layers that enable LLMs and autonomous agents to safely refactor, validate, and deploy
production code with limited human oversight.
YOUR KEY RESPONSIBILITIES
Designing Systems for Agent Operability Break down legacy monolithic architectures into modular, agent-navigable systems with
well-defined boundaries and transparent single responsibilities Drive phased modernization using the Strangler Pattern, encapsulating legacy logic
within contemporary, contract-driven interfaces Champion SOLID principles, Dependency Injection, and Hexagonal Architecture to
support deterministic AI execution and reduce regression exposure
Agentic Platform & MCP Strategy Design and manage the agent context layer, including standardized Skills, Rules, and
Commands that power AI-driven engineering workflows Develop and maintain Model Context Protocol (MCP) servers that surface legacy APIs,
services, and databases as typed, secure, AI-ready tools Own contract-first API design as the foundational bridge between human goals and
autonomous agent execution
Technical Governance & AI Output Quality Serve as the architectural authority over AI-generated pull requests, with accountability
for scalability,



security, and long-term code health Establish test-driven development (TDD) and characterization testing as non-negotiable
practices to safeguard legacy behavior through refactoring Continuously monitor and tune agentic reasoning pipelines to optimize for cost efficiency,
execution speed, and architectural soundness
WHAT YOU BRING 15+ years of experience in software architecture, platform engineering, or senior
technical leadership A track record of successfully modernizing complex, underdocumented legacy systems Deep hands-on proficiency with TypeScript, .NET, and Node.js Strong foundation in API design, distributed systems, and modular software architecture Practical familiarity with agentic development workflows, MCP, LLM tooling, or
AI-augmented engineering A strong inclination toward clean, deterministic, production-ready code
BONUS QUALIFICATIONS Experience leading or collaborating within geographically distributed teams Background in SaaS transitions, high-growth scale-ups, or private equity-backed
environments Ability to thrive in high-ambiguity situations with a strong sense of personal accountability
THE BIGGER PICTURE
This isn't about bolting AI features onto existing software.
You will be laying the architectural foundation that empowers AI to build, modify, and govern
production systems at scale — safely and reliably.
For architects who want to define how autonomous systems shape the future of software
engineering, this is that opportunity

📌 Chief Agentic AI / Systems Architect (Chennai)
🏢 People First Consultants
📍 Chennai