Forward Deployed Engineer Manager, Applied AI, Google Cloud

External job listingat Google

Google seeks a Forward Deployed Engineer Manager, Applied AI, Google Cloud, to lead AI/ML engineers developing and deploying bespoke agentic solutions.

External source - not verifiedyesterdayOpen until: Nov 8, 2026

Salary

Not provided

Location

San Francisco, United States

Employment type

Full time

Workplace

Not provided

Forward Deployed Engineer Manager, Applied AI, Google Cloud

San Francisco, United States

Job description

About the role

As a Manager of a GenAI Forward Deployed Engineering (FDE) team at Google, you will lead AI/ML engineers who bridge the gap between frontier AI products and production-grade reality within customers. The team codes, debugs, and jointly deploys bespoke agentic solutions.

Responsibilities

  • Lead a GenAI Forward Deployed Engineering team of AI/ML engineers.
  • Bridge the gap between frontier AI products and production-grade reality within customers through coding, debugging, and joint deployment of bespoke agentic solutions.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • Experience in cloud computing or a technical customer-facing role.
  • Experience in a people management, supervision, or team leadership role.
  • Experience in Python or similar coding languages.
  • Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
  • Preferred: Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • Preferred: Experience designing end-to-end secure, observable multi-agent systems using complex design patterns, state management, and tool-calling protocols.
  • Preferred: Experience designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
  • Preferred: Experience architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
  • Preferred: Experience performing discovery interviews to identify business problems and translate complex hardware/AI constraints for C-suites and technical teams.

How to apply

In most instances, this position requires in-person interviews as part of the hiring process. By applying, you can share your preferred working location from the following: San Francisco, CA, USA; Chicago, IL, USA; New York, NY, USA; Sunnyvale, CA, USA. Applicants in San Francisco with arrest or conviction records will be considered in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Apply directly on CazVid.

Key facts

  • Requires a bachelor’s degree or equivalent practical experience.
  • Requires experience in cloud computing or a technical customer-facing role.
  • Requires experience in people management, supervision, or team leadership.
  • Requires experience with Python or similar coding languages.
  • Apply directly on CazVid.

Frequently asked questions

  • What does the role involve?

    You will lead AI/ML engineers who bridge frontier AI products and production-grade reality within customers. The team codes, debugs, and jointly deploys bespoke agentic solutions.

  • What are the minimum qualifications?

    The role requires a bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience, along with experience in cloud computing or a technical customer-facing role, people management, Python or similar coding languages, and developing AI/GenAI solutions or designing multi-agent workflows or RAG systems.

  • How do I apply?

    Apply directly on CazVid. In most instances, the hiring process requires in-person interviews.

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