Job Description

Minimum qualifications:

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 7 years of experience in cloud computing or a technical customer-facing role, with experience using Python.
• 2 years of experience managing a software engineering team, Field Solutions Architect team, or a similar technical customer-facing team in a cloud computing environment.
• Experience developing AI or Generative AI solutions utilizing AI Tools and designing multi-agent workflows and Retrieval-augmented generation (RAG) systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field.
• Experience in designing interfaces for AI and agentic systems.
• Experience in architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
• Ability to design observable multi-agent systems using design patterns (ReAct, self-reflection,etc), state management, and tool-calling protocols.
• Ability to perform ‘discovery' interviews to find the business problem and translate hardware/AI constraints for C-suites and technical teams.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As the Manager of the AI Forward Deployed Engineering (FDE) team, you will lead a squad of AI/ML engineers across India 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, debug and jointly deploys bespoke agentic solutions directly within customer environments.

In this role, you will provide deep-dive technical mentorship to your team while balancing high-level strategic alignment with product, engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Serve as the technical lead, establishing code standards, architectural standard procedures, and benchmarks to elevate engineering excellence across the team.
• Partner with Sales and Tech Leadership to define requirements for opportunities, deploying experts (MLOps, GenMedia, or Agentic systems) to key accounts.
• Lead technical hiring for the Field Solutions Architect team, evaluating AI/ML expertise, systems engineering, and coding skills to build the engineering squad.
• Identify skill gaps in emerging tech (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.