Chief Agentic Systems Architect

Talent Corner Hr Services; India; Remote; INR 2,600,000 - 4,200,000; Full time

Job summary

Talent Corner Hr Services seeks a Chief Agentic Systems Architect to lead modernization and shape AI-driven software engineering foundations. You will drive architecture, define service boundaries, and guide MCP-based interfaces across distributed systems.

The role demands 14+ years in software architecture, deep hands-on expertise in .NET/C#, Node.js, TypeScript, and a strong track record in legacy modernization and AI-enabled development. Remote, full-time; high impact opportunity.

Qualifications

• 14+ years in software architecture / technical leadership.
• Proficient in .NET/C#, Node.js, TypeScript.
• Experience modernizing large legacy systems.
• Strong knowledge of distributed systems and microservices.
• API design and contract-first approaches.
• Experience with Generative AI, LLMs and AI tooling.
• Familiarity with MCP / Model Context Protocol.

Responsibilities

• Lead modernization of legacy/monolithic apps into modular, scalable systems.
• Define software architecture, service boundaries and standards.
• Drive phased modernization using modern patterns.
• Design scalable microservices and distributed systems.
• Own API architecture and REST design.
• Design AI-ready systems and context layers.
• Develop MCP servers and AI tool interfaces for APIs and databases.
• Define agentic workflows, skills, rules and LLM tooling.
• Provide governance for AI-generated code and workflows.
• Establish TDD and automated testing practices.
• Ensure security, scalability, reliability for AI-enabled solutions.

Skills

Senior leadership

.NET / C#

Node.js

TypeScript

Legacy modernization

Microservices

Distributed systems

API design / REST

System design

Hexagonal architecture

SOLID / DI

Generative AI / LLM

AI Agents / MCP

LLM tooling

Job description

Job Title

Chief Agentic Systems Architect

Work Mode

Remote / Work From Home

Experience

15+ Years

Job Description

We are looking for a Chief Agentic Systems Architect to lead the modernization of a complex legacy software platform and build the architectural foundation for AI-agent-driven software engineering.

The role requires a senior software architect with strong hands-on expertise in .NET, C#, Node.js, TypeScript, distributed systems, API architecture and legacy modernization, along with practical experience in Generative AI, LLMs, AI Agents and MCP (Model Context Protocol).

Key Responsibilities

• Lead modernization of complex legacy/monolithic applications into modular, scalable and maintainable systems.
• Define software architecture, system design, service boundaries and engineering standards.
• Drive phased legacy modernization using modern architectural patterns.
• Design scalable microservices and distributed systems.
• Own API architecture and contract-first API design.
• Design AI-agent-ready systems and intelligent context layers.
• Develop/design MCP servers and AI tool interfaces for APIs, services and databases.
• Define agentic workflows, skills, rules, commands and LLM tooling.
• Provide architectural governance for AI-generated code and engineering workflows.
• Establish TDD, characterization testing and automated testing practices.
• Ensure security, scalability, reliability and production readiness of AI-generated solutions.

Must-Have Skills

• 14+ years in Software Architecture / Technical Leadership
• .NET / C#
• Node.js
• TypeScript
• Legacy Application Modernization
• Microservices & Distributed Systems
• API Design / REST APIs
• System Design
• Clean / Hexagonal Architecture
• SOLID Principles & Dependency Injection
• Generative AI / LLM
• Agentic AI / AI Agents
• MCP / Model Context Protocol
• AI-assisted Software Development / LLM Tooling

What We Are Looking For

• Proven experience as a Chief Architect, Principal Architect, Software Architect, Solution Architect, Principal Engineer or similar senior technical leadership role.
• Strong hands-on experience with .NET/C#, Node.js and TypeScript.
• Demonstrated experience modernizing large, complex or undocumented legacy systems.
• Strong understanding of distributed systems, microservices, APIs and modular architecture.
• Practical experience working with LLMs, AI Agents, Generative AI or AI-assisted development.
• Experience with MCP / Model Context Protocol is highly preferred.
• Strong focus on clean, deterministic, secure and production-ready software.
• Excellent technical ownership, architectural decision-making and communication skills.
• Comfortable working independently with globally distributed teams.

Preferred

• SaaS / product engineering experience
• Experience in high-growth technology environments
• Experience working with distributed/global engineering teams
• Experience building AI-powered engineering workflows

Work Location: Remote / Work From Home
Employment Type: Full Time