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    Job · 20502649

    MUMBAI · FULLTIME

    Forward Deployed Engineering Manager, Generative AI, Google Cloud

    Google

    Google

    Mumbai · onsite · Posted 12d ago

    Sourced fromFoundit
    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:

    • 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.

    Preferred qualifications:

    • 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.

    About the jobAs a Manager of a Generative AI (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. In this role, you will provide technical mentorship to your team while balancing high-level 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 issues that hinder AI from achieving enterprise-grade maturity.It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

    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.

    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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    Section · 02

    Skills

    Secure observable multi-agent systemsCloud ComputingMLOpsAgentic Systemsmulti-agent workflowscomplex design patternsPythonAI/GenAI Solutions

    Section · Company

    About Google

    Google

    Google

    Software Product

    46.3k+

    employees

    1998

    28 years old

    Mountain View,California

    United States

    About

    Google Operations Center is a unique company of problem-solvers, partnering with Google to provide support to their users and customers.

    Industries

    Software ProductFinancial ServicesAnalytics & KPO

    Employee ratings

    1,897 reviews

    4.4/ 5

    Culture

    4.4

    Career growth

    4.1

    Work-life

    4.4

    Employees rate it well for

    Work Culture154Work Life Balance114Salary105Work Environment81Learning64

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