Forward Deployed Engineer Manager, Applied AI, Google Cloud

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Engineering, Computer Science, a related field, or

equivalent practical experience.

• 8 years of experience in cloud computing or a technical customer-facing role.
• Experience in a people management, supervision/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 QUALIFICATIONS:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience designing end-to-end secure, observable multi-agent systems using

complex design patterns (e.g., ReAct, self-reflection), state management, and

tool-calling protocols.

• Experience designing intuitive interfaces for complex AI and agentic systems,

prioritizing context engineering, transparency, and explainability to foster

user trust.

• Experience architecting AI solutions within complex infrastructures, ensuring

data sovereignty and secure governance.

• Experience performing discovery interviews to identify business problems and

translate complex hardware/AI constraints for C-suites and technical teams.

ABOUT THE JOB:

As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead

AI/ML engineers who bridge the gap between frontier AI products and

production-grade reality within customers. 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. In this role, you will provide

deep-dive technical mentorship to your team while balancing high-level strategic

alignment with Product, Engineering, and Google Cloud Regional Sales leadership.

Your mission is to empower and unblock your team as they resolve

production-level obstacles, including data readiness issues, integration

complexities, and state-management challenges that hinder AI from achieving

enterprise-grade maturity.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI

revolution for businesses worldwide. You’ll excel by leveraging Google's brand

credibility—a legacy built on inventing foundational technologies and proven at

scale. We’ll provide you with the world's most advanced AI portfolio, including

frontier Gemini models, and the complete Vertex AI platform, helping you to

solve business problems. We’re a collaborative culture providing direct access

to DeepMind's engineering and research minds, empowering you to solve customer

challenges. Join us to be the catalyst for our mission, drive customer success,

and define the new cloud era—the market is yours.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Serve as the technical lead, establishing code 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 FDE, evaluating AI/ML expertise, systems

engineering, and coding skills to build an exceptional engineering team.

• Identify skill gaps in emerging tech (MCP, tool-calling, and foundation

models), ensuring the team maintains subject matter expertise in an evolving

AI stack.

• Collaborate with Product and Engineering to resolve blockers and translate

field insights into roadmaps while building internal tools to drive

organizational efficiency.