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A collection of technical articles and blogs published or curated by Google Cloud Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

Who are the Google Cloud Generative AI Field Solution Architects (FSAs)?

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I get asked a lot: “What does your team do?” The answer is relevant to anyone working in the AI space today, from developers to executives.

The Google Cloud Generative AI Field Solution Architects (FSAs) have been in the trenches, turning AI ideas into real-world impact. I’m starting a series to share the stories, strategies, and the team that makes it happen. Follow me for frequent insights on LinkedIn and Medium.

Read on for real-world examples, and let me know your feedback in the comments on what you’d like to see in this series!

Image generated by Imagen, content written by me

Who are the Google Cloud Generative AI Field Solution Architects (FSAs)?

In 2024, AI leaders at Google Cloud built a new team. With the explosion of AI use cases and demand across industries, we saw the need to provide fast hands-on technical expertise to customers beginning the journey, or stuck on difficult concepts and problems.

We live in a world where we’re all trying to “see around the curve” of what’s next with AI. The FSA team has deep hands-on AI knowledge, and also understands that there are fundamental elements (such as data, operational foundations, evaluations) needed to build impactful solutions that can scale. We’re helping customers successfully pilot these projects, with best practices working with Google Cloud’s Gemini, Vertex, and beyond.

I could do a whole profile on the amazing people on the team — from data scientists to LLM experts — the FSAs are builders, coders, experimenters with passion for building safe and beneficial AI pilots for all. We take insights and best practices and share them, to accelerate time to AI reality and lower the barrier to entry.

How we work

Simply put, we build AI prototypes with customers. More on how we do this in future posts. As a teaser for upcoming posts, customers come to us with big ideas about how things will work in a new AI-driven world — from revamping traditional processes, to completely reinventing experiences. We dig into requirements and ideate on solutions and architectures. Many days we look at each other and ask “Can this be done?” And then we go build it, and discover ways to make it possible. We provide enablement and technical handovers to make sure teams are well-equipped to carry the work forward.

We work rapidly, and focus on solving the hardest AI problems facing organizations today.

Real-world examples of global FSA work:

X Games — An AI-powered system for real-time athlete performance analysis.

Golf Swing Analysis — Personalized feedback on golf swings using computer vision and AI.

What we learned from co-building genAI products with Google.

GenAI App Starter Pack — Now with RAG Pattern & Vertex AI Search!

Unlocking Customer Insights with AI Market Research Digital Twins

Deutsche Telekom RAN Guardian Agentic AI

Google Cloud Blog on Signal Iduna Health Insurance RAG Chatbot

How to work with us

First, follow us on LinkedIn and Medium! We’ll bring you real-time experiment findings, as well as our reflections and advice on best practices. Engage with us through the comments!

If you want to work directly with us on an idea, reach out to your Google Cloud representative for more information.

Stay tuned for next week, where I’ll be publishing Episode 1 of my series —

Got 100 AI Ideas? Here’s the Framework for Finding the Gold

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Google Cloud - Community
Google Cloud - Community

Published in Google Cloud - Community

A collection of technical articles and blogs published or curated by Google Cloud Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

Lyndsay Yerbic
Lyndsay Yerbic

Written by Lyndsay Yerbic

Head of AI Field Solution Architecture, Google Cloud Based in London, UK

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