20 days ago

Forward Deployed Engineer GenAI Google Cloud

Google

On Site
Full Time
₹0
Mumbai, Maharashtra, India
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Job Overview

Job TitleForward Deployed Engineer GenAI Google Cloud
Job TypeFull Time
Offered Salary₹0
LocationMumbai, Maharashtra, India

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Job Description

Forward Deployed Engineer, GenAI, Google Cloud

As an AI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as a "builder-consultant," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. You will manage blockers to production, including solving integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. 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. Key skills/competency:
  • GenAI
  • Google Cloud
  • Forward Deployed Engineer
  • AI
  • Machine Learning
  • Python
  • Agentic Solutions
  • Production ML
  • Data Pipelines
  • Software Design

Tags:

Forward Deployed Engineer
GenAI
Google Cloud
AI
Machine Learning
Python
Agentic Systems
Cloud Engineering
Developer
Software Engineer

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How to Get Hired at Google

  • Tailor your resume: Highlight experience with Python, GenAI, multi-agent systems, and Google Cloud.
  • Showcase ML expertise: Detail your experience building ML solutions and working with technical customers.
  • Emphasize production skills: Include examples of deploying AI into production environments.
  • Prepare for technical interviews: Brush up on data structures, algorithms, and software design.
  • Understand Google Cloud: Familiarize yourself with Google Cloud's AI offerings and customer use cases.

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