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- Tasks: Lead a team of AI/ML engineers to deploy innovative solutions in customer environments.
- Company: Join Google Cloud, a leader in AI technology and innovation.
- Benefits: Competitive salary, access to cutting-edge AI tools, and a collaborative work culture.
- Other info: Dynamic role with opportunities for career growth and direct collaboration with top engineering minds.
- Why this job: Be at the forefront of the AI revolution and make a real impact on businesses worldwide.
- Qualifications: 10 years in cloud computing, with strong Python skills and people management experience.
The predicted salary is between 90000 - 120000 £ per year.
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 10 years of experience in cloud computing or a technical customer-facing role, with experience in Python.
- 2 years of experience managing a software engineering, forward deployed engineering, 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 RAG systems.
- Experience in people management.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
- Experience in designing intuitive interfaces for complex AI and agentic systems, prioritising 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 a Manager of a Generative Artificial Intelligence (GenAI) Forward Deployed Engineering (FDE) team, you will lead a squad of artificial intelligence and machine learning (AI/ML) engineers who bridge the gap between 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 technical mentorship to your team, managing high-level 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 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 ultimate 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 (Machine Learning Operations (MLOps), Generative Media (GenMedia), or Agentic systems) to key accounts.
- Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad.
- 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, building internal tools to drive organizational efficiency.
Forward Deployed Engineering Manager, GenAI, Google Cloud in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineering Manager, GenAI, Google Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cloud computing. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward Deployed Engineering Manager, GenAI, Google Cloud in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 10 years in cloud computing and any technical customer-facing roles you've had. We want to see how your background aligns with the role, especially your experience in Python and managing engineering teams.
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing how you can connect your past work to what we’re looking for.
Be Clear About Your AI Expertise: Since this role is all about Generative AI, make sure to detail your experience with AI solutions and multi-agent workflows. We want to know how you’ve tackled complex AI challenges and what tools you’ve used.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud computing and AI technologies, especially Python. Brush up on your experience with multi-agent workflows and RAG systems, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Prepare to discuss your people management experience. Think of specific examples where you empowered your team or resolved production-level obstacles. This will demonstrate your capability to lead a forward deployed engineering team effectively.
✨Understand the Business Context
Familiarise yourself with Google Cloud’s offerings and how they relate to customer needs. Be ready to explain how you can bridge the gap between AI products and real-world applications, showcasing your understanding of customer challenges.
✨Prepare for Technical Questions
Expect deep technical questions about AI solutions and architectural best practices. Review complex design patterns like ReAct and self-reflection, and be prepared to discuss how you would implement them in a team setting.