Forward Deployed Engineer II, GenAI, Google Cloud

Google · Sunnyvale, CA | Atlanta, GA | Austin, TX | Boulder, CO | Cambridge, MA | Chicago, IL | Miami, FL | Mountain View, CA | New York City, NY | Los Angeles, CA | Reston, VA | Seattle, WA | San Francisco, CA | Washington, DC | Detroit, MI | Portland, OR | Addison, TX | Irvine, CA | Kirkland, WA

mid software engineering Field Engineer ic · Posted Jan 23, 2026
$127,000 – $183,000
USD per year

About this role

Google is hiring a mid-level Field Engineer in the software engineering function based in Sunnyvale, CA | Atlanta, GA | Austin, TX | Boulder, CO | Cambridge, MA | Chicago, IL | Miami, FL | Mountain View, CA | New York City, NY | Los Angeles, CA | Reston, VA | Seattle, WA | San Francisco, CA | Washington, DC | Detroit, MI | Portland, OR | Addison, TX | Irvine, CA | Kirkland, WA. The posting calls out experience with Python, React, GCP, PyTorch. Compensation is listed at $127,000–$183,000 per year.

Role
Field Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Sunnyvale, CA | Atlanta, GA | Austin, TX | Boulder, CO | Cambridge, MA | Chicago, IL | Miami, FL | Mountain View, CA | New York City, NY | Los Angeles, CA | Reston, VA | Seattle, WA | San Francisco, CA | Washington, DC | Detroit, MI | Portland, OR | Addison, TX | Irvine, CA | Kirkland, WA
Posted
Jan 23, 2026

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Job description

from Google careers
As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customer environments. Unlike traditional advisory roles, you will function as an innovator-builder moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production, including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.
This is an excerpt. Read the full job description on Google careers →
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