Forward Deployed Engineering Manager, Generative AI, Google Cloud

Google; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google Cloud seeks a Manager of a GenAI Forward Deployed Engineering (FDE) team in London to lead engineers who bridge frontier AI products with production-grade deployments inside customer environments. You will mentor the team while balancing alignment with Product, Engineering, and Google Cloud Regional Sales leadership.

You will empower the team to resolve data readiness, integration, and state-management challenges that hinder enterprise-grade AI maturity, helping customers achieve

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• 8 years of experience as a sales engineer or technical consultant in a cloud computing environment or customer-facing role.
• 2 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment.
• Experience in Python or a similar coding language.
• Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.

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 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 model context protocol, tool-calling, and foundation models, ensuring 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.

Skills

Sales engineering experience

Technical leadership

Team management

AI/GenAI experience

AI workflow design

Education

Bachelor’s degree in Engineering/CS or equivalent

Master’s or PhD in AI/CS

Tools

Python

AI tools/GenAI platforms

Tool-calling protocols

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience as a sales engineer or technical consultant in a cloud computing environment or in a customer-facing role.
• 2 years of experience managing a software engineering, FDE, or a similar technical customer-facing team in a cloud computing environment.
• Experience in Python or a similar coding language.
• Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.

Preferred qualifications

• Master’s 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 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 alignment with Product, Engineering, and Google Cloud Regional Sales leadership. You will empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management issues 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.

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 model context protocol (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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .