Google Cloud is seeking an Enterprise AI Infrastructure Field Solution Architect to support their sales teams in deploying AI/ML accelerators for various enterprises. This role combines technical expertise in AI infrastructure with customer-facing responsibilities, requiring deep knowledge of cloud technologies and machine learning frameworks. The position offers an opportunity to work with cutting-edge AI technology while helping shape Google Cloud's future offerings.
The ideal candidate will have extensive experience with cloud infrastructure, distributed training, and machine learning operations. They will serve as a technical advisor to top customers, helping them implement and optimize AI accelerators within their cloud strategy. This involves conducting POCs, performance optimization, and benchmarking to demonstrate Google Cloud's capabilities.
Key responsibilities include designing large-scale training and inferencing platforms, building repeatable assets, and influencing Google Cloud's strategy through customer feedback. The role requires both technical depth in AI/ML technologies and the ability to communicate complex technical concepts to various stakeholders.
This position offers competitive compensation including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits. The role provides an excellent opportunity to work with industry-leading AI technology while making a significant impact on enterprise AI adoption.
The position requires travel to customer sites and events, making it ideal for someone who enjoys combining technical expertise with customer interaction. You'll be part of Google Cloud's mission to accelerate digital transformation across industries while working with cutting-edge AI infrastructure.