Be a trusted advisor to customers by understanding their business process and objectives. Design and build end-to-end solutions spanning AI, Data, and Infrastructure. Work with peers to include the full cloud stack into overall architecture.

Rapidly build production-grade prototypes that deliver measurable outcomes (e.g., write custom code, integrate disparate data sources, design data ontologies, deploy solutions on customer infrastructure).

Represent the customer, gather real-time feedback and insights. Formalize and abstract field-tested solutions into reusable modules or new product features to drive product innovation. Establish technical and business cases to support recommendations.

Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for customer requirements.

Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement. Travel as needed.

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

8 years of experience in Python, Golang, or other programming language(s) used in Machine Learning (ML).

Experience in Solution Architecture, Software Engineering or Systems Engineering.

Experience architecting, deploying, and managing solutions on a cloud platform.

Experience with AI Infrastructure (e.g. TPUs/GPUs)