Forward Deployed Engineering Manager, Generative AI, Google Cloud

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 road maps while building internal tools to drive organizational efficiency.
• - 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 road maps while building internal tools to drive organizational efficiency.

Minimum qualifications:

Preferred qualifications:

Qualifications

• 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 Engineering (FDE), or similar technical customer-facing team in a cloud computing environment. - Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or Retrieval-augmented generation (RAG) systems. - Experience in Python or similar coding language. Preferred qualifications: - Master’s degree or PhD in AI, Computer Science, or a related technical field. - Experience designing secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols. - Experience working with the Public Sector and Education. - 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.