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

Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to support their sales teams in deploying Google Cloud's AI/ML accelerators. This role combines technical expertise in machine learning infrastructure with customer-facing responsibilities, making it ideal for those with both strong technical skills and business acumen. The position offers an opportunity to work with cutting-edge AI technology, helping customers innovate using Google Cloud's flexible and open infrastructure.

The role requires deep expertise in cloud infrastructure, distributed training, and machine learning operations. You'll work with various frameworks like TensorFlow, PyTorch, and Jax, while utilizing containerization and orchestration tools such as Kubernetes. Your responsibilities will include designing large-scale training and inferencing platforms, optimizing model performance, and conducting benchmarks to demonstrate the power of Google Cloud's accelerators.

As a Field Solution Architect, you'll have the unique opportunity to influence Google Cloud's strategy by bridging the gap between enterprise customer requirements and product development. The position offers competitive compensation, including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate will have at least 5 years of experience with cloud infrastructure, strong coding skills in Python, and practical experience with machine learning model deployment. You'll work from one of several major US tech hubs, including New York, Boston, Chicago, or Washington D.C., helping shape the future of AI infrastructure while working with Google's industry-leading technology stack.