Field Solution Architect II, AI Infrastructure, West, 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. As an Enterprise AI Infrastructure Field Solution Architect, you'll work directly with Google Cloud sales teams to implement and optimize AI/ML accelerators (TPU/GPU) for various clients, from startups to large enterprises.

The position requires deep technical knowledge in cloud infrastructure, distributed training, and machine learning operations. You'll be responsible for identifying and assessing large-scale AI opportunities, helping customers leverage accelerators within their cloud strategy, running benchmarks, and developing migration paths. The role involves close collaboration with internal Cloud AI teams to shape future offerings and remove implementation roadblocks.

Key technical requirements include experience with Python programming, containerization, Kubernetes, and various ML frameworks like TensorFlow and PyTorch. You'll need to be comfortable with performance optimization, distributed systems, and large-scale AI compute clusters. The role also demands strong communication skills as you'll be working directly with customers as a trusted advisor.

Google Cloud offers a competitive compensation package, including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits. The position offers the opportunity to work with cutting-edge AI technology while helping shape the future of cloud infrastructure for AI applications. Multiple location options are available across major tech hubs in the United States.

This role is perfect for someone who combines deep technical expertise in AI infrastructure with strong customer-facing skills and a desire to influence the direction of cloud AI solutions. You'll be at the forefront of helping organizations implement and optimize their AI infrastructure while working with Google's industry-leading technology.