Forward Deployed Engineering Manager II, Generative AI, Google Cloud
Paris, France; Munich, Germany; London, UK
May 15, 2026
Alphabet Custom Ats (Google Hire Legacy / Internal Proprietary System)
- Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
- Partner with Sales and Technical 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 technology (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.
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.
- 2 years of experience managing a software engineering, Forward Deployed Engineer (FDE), or similar technical customer-facing team in a cloud computing environment.
- Experience in Python or similar coding languages.
- Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
- Experience developing and deploying multilingual natural language processing models.
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 design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
- Experience designing intuitive interfaces for AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
- Experience architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
- Experience performing discovery interviews to identify business problems and translate hardware/AI constraints for C-suites and technical teams.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Paris, France; Munich, Germany; London, UK.
- 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.
- 2 years of experience managing a software engineering, Forward Deployed Engineer (FDE), or similar technical customer-facing team in a cloud computing environment.
- Experience in Python or similar coding languages.
- Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
- Experience developing and deploying multilingual natural language processing models.
