Chief Agentic Architect
- Compensation
- Not disclosed
- Location
- Chennai, India
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Contract
- Experience
- 15+ years
- Category
- Architecture
- Posted
Skills
Must have
- 15+ years of experience in Software Architecture, Platform Engineering, or Technical Leadership
- Strong expertise in .NET or Java or Python or 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
Nice to have
- 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
Full description
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 .NET or Java or Python or Node.js
- Proven experience modernizing large-scale legacy applications
- Deep understanding of distributed systems and modular architecture