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

Google

5–8 yrs Mumbai Full Time Work from office
Google logo
Posted : yesterday
Actively hiring

Job description

Lead a team of AI/ML engineers to implement cutting-edge Artificial Intelligence (AI) products within customer environments. This role involves bridging the gap between advanced AI and production-grade solutions, requiring hands-on coding, debugging, and joint deployment of bespoke agentic systems. You will offer deep technical mentorship while aligning strategy with Product, Engineering, and Google Cloud Sales leadership. Empower your team to overcome production challenges, including data readiness, integration complexities, and state management, to achieve enterprise-grade AI maturity.

Join Google Cloud's Go-To-Market team during an exciting period of AI innovation. Leverage Google's established credibility in foundational technology development. You'll utilize our advanced AI portfolio, including Gemini models and the Vertex AI platform, to solve critical business problems. Our collaborative culture provides direct access to DeepMind's expertise, enabling you to drive customer success and define the future of cloud computing.

Responsibilities

Establish robust code standards, architectural best practices, and performance benchmarks to drive engineering excellence within the team.

Collaborate with Sales and Tech Leadership to define requirements for impactful opportunities, deploying specialized AI/ML experts to key accounts.

Lead the technical hiring process for Forward Deployed Engineers, assessing expertise in AI/ML, systems engineering, and coding to build a high-performing team.

Proactively identify skill gaps in emerging technologies like Model Context Protocol (MCP), tool-calling, and foundation models to ensure continuous subject matter expertise.

Partner with Product and Engineering teams to remove blockers and translate field insights into actionable roadmaps, developing internal tools for enhanced organizational efficiency.

Qualifications

A Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience is required.

Possess at least 8 years of experience in cloud computing or a technical customer-facing role.

Minimum of 5 years of experience managing a software engineering, Forward Deployed Engineering, or similar technical customer-facing team within a cloud computing environment.

Proficiency in Python or a similar coding language is essential.

Demonstrated experience in developing AI/GenAI solutions, designing multi-agent workflows, or implementing Retrieval-Augmented Generation (RAG) systems.

Essential Skills

Cloud ComputingPythonAI/GenAI Solutions DevelopmentMulti-agent Workflows DesignRetrieval-Augmented Generation (RAG) Systems DesignSoftware Engineering Team ManagementTechnical Customer-Facing Role Management

Good to Have

End-to-End Secure Multi-agent Systems DesignObservable Multi-agent Systems DesignComplex Design PatternsState ManagementTool-Calling ProtocolsManufacturing Customer EngagementConglomerate Customer EngagementAI/Agentic Systems Interface DesignContext EngineeringTransparency in AIExplainability in AIAI Solutions ArchitectureComplex InfrastructuresData SovereigntySecure GovernanceDiscovery InterviewsTranslating Hardware/AI ConstraintsMLOpsGenMediaAgentic SystemsModel Context Protocol (MCP)Foundation Models

Highlights

  • Actively hiring

More Details

RoleForward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud
IndustryManufacturing
DepartmentEngineering Manager, Forward Deployed Engineer
Employment TypeFull Time, Work from office

About the Company

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Google

Manufacturing

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