Field Solutions Architect, Generative AI, Google Cloud

Google Cloud is seeking a Field Solutions Architect specializing in Generative AI to support their sales organization. This role combines technical expertise in AI/ML with customer-facing responsibilities, focusing on building rapid prototype Generative AI applications for clients ranging from startups to major enterprises.

The position requires deep technical knowledge in machine learning, particularly in areas like deep learning, natural language processing, and computer vision. You'll work with cutting-edge Generative AI technologies, developing innovative solutions and validating their effectiveness through direct customer collaboration.

As a Field Solutions Architect, you'll serve as a bridge between Google Cloud's technical capabilities and customer needs, designing and implementing AI-driven solutions that span across AI, Data, and Infrastructure. The role involves significant interaction with customers, requiring both technical expertise and strong communication skills to deliver technical presentations and lead business value sessions.

Key responsibilities include developing application prototypes, optimizing model performance, troubleshooting issues, and creating reusable technical assets. You'll also have the opportunity to influence Google Cloud's strategy and product direction by advocating for enterprise customer requirements.

The position offers competitive compensation ($177,000-$263,000 + bonus + equity + benefits) and the opportunity to work with cutting-edge AI technology at one of the world's leading tech companies. This role is perfect for someone who combines deep technical knowledge with strong customer-facing skills and a passion for advancing the field of Generative AI.

The role requires 7+ years of experience with statistical programming languages like Python, and expertise in AI applications and frameworks such as TensorFlow and PyTorch. You'll need to be comfortable with distributed training, ML Operations, and systems design. The position offers flexibility with multiple location options across major tech hubs in North America.