Job Summary

AI Agent Architect• Full accountability for defining the agentic architecture, ensuring the agent system is designed correctly to create maximum re-use aligned with the AI Agent Acceleration Engineer across the wider division and global landscape.• Design and oversee the end-to-end technical solution for AI Agents, ensuring they are scalable, resilient, safe.• Define best practices for the agent development lifecycle, including agent patterns and strategies for system integration (e.g., human-in/over-the-loop).• Maintain a holistic view of the broader system landscape to anticipate integration challenges and champion architectural alignment across multiple projects.• Translate complex business requirements into technical blueprints and architectural designs, providing clear guidance to development teams.Core Experience: A minimum of 5-7 years of professional experience in a Solution Architect, Technical Architect, or similar role, with at least the last 1-2 year highly focused on Agentic AI / AI Systems.Proven Track Record: Demonstrable experience in designing and delivering complex, integrated Ai Agents solutions, with specific expertise in Agents / Agentic Systems and AI/ML in general.Key Skills:Deep understanding of agentic/generative AI, the agent development lifecycle, and common agent patterns. Preferably in the Google Ecosystem / Google Agent Development Kit.Expertise in system integration, including "human in/over the loop" workflows.Strong ability to design large-scale enterprise architecture, promoting component reusability.Excellent collaboration skills to align diverse stakeholders on a unified architectural vision.Strategic mindset that balances long-term technical goals with immediate project needs.

Key Responsibilities

AI Agent Architect• Full accountability for defining the agentic architecture,



ensuring the agent system is designed correctly to create maximum re-use aligned with the AI Agent Acceleration Engineer across the wider division and global landscape.• Design and oversee the end-to-end technical solution for AI Agents, ensuring they are scalable, resilient, safe.• Define best practices for the agent development lifecycle, including agent patterns and strategies for system integration (e.g., human-in/over-the-loop).• Maintain a holistic view of the broader system landscape to anticipate integration challenges and champion architectural alignment across multiple projects.• Translate complex business requirements into technical blueprints and architectural designs, providing transparent guidance to development teams.Core Experience: A minimum of 5-7 years of professional experience in a Solution Architect, Technical Architect, or similar role, with at least the last 1-2 year highly focused on Agentic AI / AI Systems.Proven Track Record: Demonstrable experience in designing and delivering complex, integrated Ai Agents solutions, with specific expertise in Agents / Agentic Systems and AI/ML in general.Key Skills:Deep understanding of agentic/generative AI, the agent development lifecycle, and common agent patterns. Preferably in the Google Ecosystem / Google Agent Development Kit.Expertise in system integration, including "human in/over the loop" workflows.Strong ability to design large-scale enterprise architecture, promoting component reusability.Excellent collaboration skills to align diverse stakeholders on a unified architectural vision.Strategic mindset that balances long-term technical goals with immediate project needs.

Skill Requirements





AI Agent Architect• Full accountability for defining the agentic architecture, ensuring the agent system is designed correctly to create maximum re-use aligned with the AI Agent Acceleration Engineer across the wider division and global landscape.• Design and oversee the end-to-end technical solution for AI Agents, ensuring they are scalable, resilient, safe.• Define best practices for the agent development lifecycle, including agent patterns and strategies for system integration (e.g., human-in/over-the-loop).• Maintain a holistic view of the broader system landscape to anticipate integration challenges and champion architectural alignment across multiple projects.• Translate complex business requirements into technical blueprints and architectural designs, providing transparent guidance to development teams.Core Experience: A minimum of 5-7 years of professional experience in a Solution Architect, Technical Architect, or similar role, with at least the last 1-2 year highly focused on Agentic AI / AI Systems.Proven Track Record: Demonstrable experience in designing and delivering complex, integrated Ai Agents solutions, with specific expertise in Agents / Agentic Systems and AI/ML in general.Key Skills:Deep understanding of agentic/generative AI, the agent development lifecycle, and common agent patterns. Preferably in the Google Ecosystem / Google Agent Development Kit.Expertise in system integration, including "human in/over the loop" workflows.Strong ability to design large-scale enterprise architecture, promoting component reusability.Excellent collaboration skills to align diverse stakeholders on a unified architectural vision.Strategic mindset that balances long-term technical goals with immediate project needs.

Must Have Skill

AI/ML Tools - Others,Google Cloud Platform (GCP),Solution Architecture,Agentic AI

Good to Have Skill

Other Requirements

📌 Group Technical Architect (India)
🏢 HCLTech
📍 India