Field Solution Architect AI Infrastructure

About the Job

The Google Cloud Consulting Professional Services team guides customers through the moments that most matter in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Field Solution Architect, your experience and thought leadership will support Google Cloud sales teams to incubate, pilot, and deploy Google Cloud’s industry leading AI/ML accelerators (TPU/GPU) at AI innovators, large enterprises, and early stage AI startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure. In this role, you will identify and assess AI opportunities that would benefit from AI optimized infrastructure. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. Along the way, you would work closely with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. 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.

Responsibilities

• Serve as a trusted advisor to top customers, helping them incorporate artificial intelligence (AI) accelerators into cloud strategies by designing training and inferencing platforms.
• Demonstrate Google Cloud differentiation through Proofs of Concept, feature demonstrations, model performance optimization, profiling, and benchmarking.
• Collaborate seamlessly with the Google Compute Engine AI Infrastructure Dedicated Engineering Team to co-develop code artifacts, best practice documentation, and scalable machine learning (ML) solutions.
• Influence Google Cloud infrastructure strategy by advocating for enterprise requirements and building repeatable assets to enable internal teams and customers.
• Travel to customer sites and industry events as needed to provide direct support and represent Google Cloud AI solutions.

Key skills/competency

• Field Solution Architect
• AI Infrastructure
• Google Cloud
• Cloud Computing
• Machine Learning
• Deep Learning
• Artificial Intelligence
• Distributed Systems
• Performance Optimization
• Customer Advisory