Partner Forward Deployed Engineering Manager III, GenAI, Google Cloud

• Serve as a team lead and developer within the Google Cloud partner FDE organization to drive the transition from rapid prototypes to production-grade, replicable agentic workflows (multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with a strategic AI partner’s own Forward Deployed Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
• Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on the ROI at customer engagements ensuring customer activation.

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, 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, or a similar technical customer-facing team in a cloud computing environment.
• Experience developing AI/Generative AI (GenAI) solutions utilizing AI tools and designing multi-agent workflows and Retrieval-Augmented Generation (RAG) systems.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
• Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
• Ability to perform deep discovery interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.
• Background in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.

• Bachelor's degree in Science, Technology, Engineering, Mathematics, 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, or a similar technical customer-facing team in a cloud computing environment.
• Experience developing AI/Generative AI (GenAI) solutions utilizing AI tools and designing multi-agent workflows and Retrieval-Augmented Generation (RAG) systems.