Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud

Google Inc.; Mumbai; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

Google Inc. is seeking a Forward Deployed Engineering Manager to lead a GenAI team in Mumbai. You will bridge the gap between advanced AI products and real-world applications. The ideal candidate has a strong background in cloud computing and team management.

This role demands extensive experience in AI solutions and technical mentorship. Responsibilities include establishing engineering best practices, collaborating with sales leadership, and technical hiring. Google is an equal opportunity employer committed to diversity and inclusion.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 8 years of experience in cloud computing or a technical customer-facing role.
• 5 years managing a software engineering team in a cloud environment.

Responsibilities

• Serve as the technical lead, establishing standards and best practices.
• Partner with Sales to define requirements for high-value opportunities.
• Lead technical hiring for the FDE team and evaluate expertise.

Skills

Cloud computing

Team management

Python

AI tools and multi-agent workflows

Education

Bachelor’s degree in Engineering or Computer Science

Master’s degree or PhD in AI or Computer Science

Job description

Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud

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.
• 5 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 language.
• Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or Retrieval-Augmented Generation (RAG) systems.

Preferred qualifications

• 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 working with manufacturing and conglomerates customers.
• 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.

About the job

As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead AI/ML engineers who bridge the gap between frontier Artificial Intelligence (AI) products and production‑grade reality within customers. You will be responsible for a team that doesn't just consult, but codes, debugs, and jointly deploys bespoke agentic solutions directly within customer environments. 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. You will 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.

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 (e.g., 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 (Model Context Protocol (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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.