Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience.
- 8 years of experience in providing production-grade AI solutions to external or internal customers with L400-level in Python, and architecting AI systems on cloud platforms.
- Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements.
- Experience building full-stack solutions that interface with enterprise systems.

Preferred qualifications:
- Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field.
- Experience in implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
- Knowledge of Large Language Model (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.




- Ability to implement secure agentic workflows incorporating Model Context Protocol (MCP), tool-calling, and Open Authorization (OAuth)-based authentication.

About the job:
As a Field Solutions Architect at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production grade reality within customers. Unlike traditional advisory roles, you will function as a 'builder-consultant', moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s workplace. You will address blockers to production, including solving the integration complexities, data readiness, and state management issues that prevent Artificial Intelligence (AI) from reaching enterprise grade maturity. You will serve a dual purpose: providing 'white glove' deployment of Artificial Intelligence (AI) systems and act

📌 Field Solutions Architect, Genai, Google Cloud (Gurugram)
🏢 Google
📍 Gurugram