Field Solution Architect II, AI Infrastructure, North, Google Cloud

Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to join their team. This role combines technical expertise in machine learning infrastructure with customer-facing responsibilities. The position involves supporting Google Cloud sales teams to implement and optimize AI/ML accelerators (TPU/GPU) for various clients, from startups to large enterprises.

The ideal candidate will have strong experience with cloud infrastructure, distributed training, and machine learning frameworks. They'll need to demonstrate proficiency in Python programming, working with containerization technologies like Kubernetes, and understanding complex ML model deployment and optimization.

Key responsibilities include designing large-scale training and inferencing platforms, conducting proof of concepts, optimizing model performance, and building repeatable solutions. The role requires both technical depth in AI infrastructure and the ability to act as a trusted advisor to customers.

The position offers competitive compensation ($142,000-$211,000) plus bonus, equity, and benefits. It provides an opportunity to work with cutting-edge AI technology while shaping Google Cloud's enterprise AI strategy. The role requires travel to customer sites and offers multiple location options including New York, Boston, Chicago, and Washington D.C.

This is an excellent opportunity for someone passionate about AI infrastructure who wants to impact how enterprises implement and scale their AI initiatives. The role combines technical expertise with strategic thinking, requiring someone who can both understand complex technical requirements and translate them into practical solutions for customers.