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 work at the forefront of AI technology, supporting Google Cloud's sales teams in implementing industry-leading AI/ML accelerators (TPU/GPU) for various clients, from startups to large enterprises. Your role will be crucial in helping customers innovate and optimize their AI infrastructure using Google Cloud's flexible and open 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 expertise in Python programming, distributed training, and working with frameworks like TensorFlow and PyTorch. Knowledge of Kubernetes and other orchestration tools is essential for success in this role.

What makes this role particularly attractive is its blend of technical depth and business impact. You'll be working with cutting-edge AI technology while directly influencing how customers implement and benefit from these solutions. The role offers competitive compensation ($171,000-$257,000 + bonus + equity + benefits) and the opportunity to work with some of the most advanced AI infrastructure in the industry.

The position involves significant interaction with customers, requiring both technical expertise and strong communication skills. You'll be responsible for designing large-scale training and inferencing platforms, conducting POCs, and optimizing model performance. This is an excellent opportunity for someone who enjoys both the technical and strategic aspects of AI infrastructure implementation.

Working at Google Cloud means being part of a team that's shaping the future of AI infrastructure and helping organizations across the globe in their digital transformation journey. The role offers the flexibility of multiple location options across major tech hubs in the United States, making it accessible for candidates in different regions.