As a Field Solutions Architect IV for AI Infrastructure at Google Cloud, you will leverage your expertise to support commercial teams in deploying cutting-edge TPU and GPU hardware. Your role will involve guiding technical discussions and assisting clients in integrating AI accelerators into their business strategies. You will work closely with internal product and engineering teams to overcome challenges and enhance platform capabilities. This position requires a blend of technical knowledge and customer engagement to drive innovation in AI solutions.

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 10 years of experience with data center technologies, solutions, and their deployment.
• Experience with data center networking, including routing, switching, DNS, and IP addressing.
• Experience with AI model training and inference, deploying OSS frameworks such as PyTorch and Jax.
• Experience with scripting and coding in Python, YAML, and Kubernetes.

• Act as a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall business strategy.
• Demonstrate how Google Cloud is differentiated by working with customers on Proofs of Concept and optimizing model performance.
• Assist in the production deployment of Google Cloud accelerators and troubleshoot integration issues.
• Build repeatable assets to enable other customers and internal teams.
• Collaborate with the AI Infrastructure Dedicated Engineering Team to scale ML techniques and solutions.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.