회사명	구글(Google)
포지션	Forward Deployed Engineering Manager, GenAI, Google Cloud
근무지	서울특별시 강남구 테헤란로 152 (역삼동, 강남파이낸스센터 22층)
고용형태	정규직
경력	5년 이상

회사 소개

As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead AI/ML engineers who bridge the gap between frontier AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide.

주요 업무

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 roadmaps while building internal tools to drive organizational efficiency.

자격요건

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, 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.

우대사항

Master's degree 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.