Field Solution Architect III, AI Infrastructure, West, Google Cloud

Google Cloud is seeking a Field Solution Architect III specializing in AI Infrastructure to join their team. This role combines deep technical expertise in AI/ML with customer-facing responsibilities, making it an exciting opportunity for experienced professionals in the field.

As an Enterprise AI Infrastructure Field Solution Architect, you'll play a crucial role in supporting Google Cloud's sales teams to implement and deploy AI/ML accelerators (TPU/GPU) across various client segments, from startups to large enterprises. Your expertise will be essential in helping customers innovate using Google Cloud's state-of-the-art infrastructure solutions.

The position requires a strong technical background with at least 7 years of experience in cloud infrastructure and machine learning. You'll need proficiency in Python, experience with frameworks like TensorFlow and PyTorch, and deep knowledge of containerization and Kubernetes. The role combines technical depth with customer interaction, requiring both strong engineering skills and excellent communication abilities.

What makes this role particularly attractive is the opportunity to work with cutting-edge AI technology at scale, while directly influencing both customer success and Google Cloud's product strategy. You'll be at the forefront of AI infrastructure implementation, working with industry-leading tools and technologies.

The compensation package is competitive, ranging from $171,000 to $257,000 base salary, plus bonus, equity, and comprehensive benefits. The role offers flexibility with multiple location options across major tech hubs in the United States, including San Francisco, Seattle, and Los Angeles.

This is an ideal position for someone who wants to combine technical expertise with customer impact, working at the intersection of AI infrastructure and cloud computing while helping shape the future of enterprise AI solutions at one of the world's leading technology companies.