Chief Agentic Architect
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Jun 4, 2026.
Job Title: Chief Agentic AI Architect
Experience: 15-22 Years
Location: Chennai
About the Company:
Our client is a rapidly growing software consulting multinational corporation (MNC) headquartered in the US, with a strong global presence across the USA, Germany, France, Australia, Singapore, the Middle East, Mexico, and India. The organization delivers comprehensive software development services across Web, iOS, Android, DevOps, AI/ML, and QA domains. With a workforce of over 200 professionals and global delivery centers, the company is known for driving digital transformation for enterprise clients and startups.
Role Overview:
We are seeking an experienced Chief Agentic Architect to lead the modernization of a large-scale legacy platform into an AI-native, agent-ready engineering ecosystem. This role sits at the intersection of software architecture, AI agent orchestration, platform engineering, and technical governance. The ideal candidate will define architectural standards, design intelligent context systems, and establish frameworks that enable autonomous AI agents to safely refactor, validate, and deploy production-grade software.
Key Responsibilities:
Modernize legacy monolithic systems into modular, scalable, agent-friendly architectures
Drive phased modernization initiatives using Strangler Pattern and contract-driven development approaches
Establish architectural principles based on SOLID, Dependency Injection, and Hexagonal Architecture
Design and manage agent context layers including Skills, Rules, Commands, and AI workflows
Develop and maintain Model Context Protocol (MCP) servers and AI-ready integration frameworks
Define and govern contract-first API strategies across enterprise platforms
Review and govern AI-generated code changes to ensure scalability, security, and maintainability
Establish Test-Driven Development (TDD) and characterization testing practices
Monitor and optimize AI agent reasoning pipelines for performance, reliability, and cost efficiency
Collaborate with engineering, product, and leadership teams to define long-term technical strategy
Required Skills:
15+ years of experience in Software Architecture, Platform Engineering, or Technical Leadership
Strong expertise in TypeScript, .NET, and Node.js
Proven experience modernizing large-scale legacy applications
Deep understanding of distributed systems and modular architecture
Strong experience with API design and contract-first development
Knowledge of AI-assisted development workflows and engineering automation
Experience with MCP (Model Context Protocol), LLM tooling, or Agentic AI systems
Strong architectural governance and code quality management skills
Excellent problem-solving, communication, and leadership abilities
Preferred Skills:
Experience working with geographically distributed teams
Exposure to SaaS transformation initiatives
Experience in high-growth technology organizations or scale-ups
Familiarity with AI-native software development practices
Experience driving engineering transformation programs
Eligibility / Qualifications:
Education: Bachelor’s degree in IT, Computer Science, Engineering, or equivalent.
Other Details:
Notice Period: Immediate to 30 days
Work Type: [Full-time- Permanent ]