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. You'll work with Google Cloud's industry-leading AI/ML accelerators (TPU/GPU) to help customers innovate and optimize their AI solutions.

As a Field Solution Architect, you'll be at the intersection of sales and technical implementation, helping customers leverage Google Cloud's AI infrastructure effectively. The role requires deep technical knowledge in distributed training, machine learning frameworks, and cloud infrastructure, while also demanding strong communication skills to work with customers and internal teams.

The ideal candidate will have extensive experience with cloud infrastructure, distributed training, and machine learning operations. You'll need to be comfortable with Python programming, various ML frameworks (TensorFlow, PyTorch, Jax), and orchestration tools like Kubernetes. Experience with large-scale AI compute clusters and performance optimization is highly valued.

Key responsibilities include designing large-scale training and inferencing platforms, conducting proof of concepts, optimizing model performance, and building repeatable solutions. You'll also influence Google Cloud's strategy by advocating for enterprise customer requirements.

This position offers competitive compensation ($142,000-$211,000 base salary) plus bonus, equity, and comprehensive benefits. Multiple locations are available across the western United States, including major tech hubs like San Francisco, Seattle, and Los Angeles. The role provides an opportunity to work with cutting-edge AI technology while helping shape the future of cloud infrastructure at one of the world's leading technology companies.