Generative AI Field Solutions Architect

Job Description

About Google Cloud

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

About the Job: Generative AI Field Solutions Architect

As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators (TPU/GPU).

In this role, you will:

• Identify, assess, and develop Generative AI and AI/ML applications: Apply key industry tools, techniques, and methodologies to solve problems.
• Help customers leverage accelerators: Run benchmarks for existing models, find opportunities to use accelerators for new models, develop migration paths, and analyze cost to performance.
• Collaborate with internal Cloud AI teams: Remove roadblocks and shape the future of Google Cloud offerings.

You will be a trusted advisor to our customers, understanding their business processes and goals. You will architect AI-driven solutions spanning Data, AI, and Infrastructure, working with peers to include the full cloud stack into overall architecture. You will demonstrate how Google Cloud is differentiated by working with customers, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. You will troubleshoot and find solutions to issues with training/serving models in a large-scale environment.

You will also:

• Build repeatable technical assets (e.g., scripts, templates, reference architectures) to enable other customers and internal teams.
• Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement activities.