MUMBAI · FULLTIME
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Mumbai · onsite · Posted 12d ago
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Not disclosed8–10 yrsfulltimeMumbai
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Section · 01
About this role
In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications:
Responsibilities
- 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.
- 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.
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.
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Section · 02
Skills
Secure observable multi-agent systemsCloud ComputingMLOpsAgentic Systemsmulti-agent workflowscomplex design patternsPythonAI/GenAI Solutions
Section · Company
About Google
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