Forward Deployed Engineering Manager, Generative AI, Google Cloud

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Requirements:

  • 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.

Nice to haves:

  • 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.

What you'll be doing:

  • 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.

Perks and benefits:

  • Exciting opportunity to lead the AI revolution for businesses at Google Cloud.
  • Access to world's most advanced AI portfolio and Vertex AI platform.
  • Collaborative culture with direct access to DeepMind's engineering and research minds.
  • Equal opportunity and affirmative action employer commitment.

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