Forward Deployed Engineer, GenAI, Google Cloud

Google · Sydney NSW, Australia | Docklands VIC, Australia

mid software engineering Field Engineer ic · Posted Apr 21, 2026

About this role

Google is hiring a mid-level Field Engineer in the software engineering function based in Sydney NSW, Australia | Docklands VIC, Australia. The posting calls out experience with Python, React, GCP, PyTorch.

Role
Field Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Sydney NSW, Australia | Docklands VIC, Australia
Posted
Apr 21, 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.

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.

Responsibilities

  • Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
    • This is an excerpt. Read the full job description on Google careers →
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