Minimum qualifications:

• Bachelor's degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• 2 years of experience managing a software engineering, FDA or a similar technical customer-facing team in a cloud computing environment.
• Experience developing AI/generative AI solutions utilizing AI tools and designing multi-agent workflows and Retrieval Augmented Generation (RAG) systems.
• Experience in people management, including leading technical teams.

Preferred qualifications:

• Master’s degree in Computer Science, or a related technical field.
• Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
• Experience in performing deep discovery interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.
• Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
• Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (ReAct, self-reflection,etc), state management, and tool-calling protocols.

About the job

As the Manager of the Generative AI Forward Deployed Architect (FDA) team, you will lead architects across the Great China region. You will be responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Serve as the ultimate technical lead, establishing prototype standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
• Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or agentic systems) to key accounts.
• Lead technical hiring for field deployed architect, evaluating AI/ML expertise, systems engineering, and coding skills to build forward deployed architects.
• Identify skill gaps in emerging tools (MCP, tool-calling), ensuring the team maintains subject matter expertise in an evolving AI stack.
• Collaborate with the Product and Architect team to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.