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

Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to join their team. This role combines technical expertise in machine learning infrastructure with customer-facing responsibilities. You'll work with Google Cloud's industry-leading AI/ML accelerators (TPU/GPU) to help customers innovate and optimize their AI solutions.

As an Enterprise AI Infrastructure Field Solution Architect, you'll be at the forefront of helping organizations leverage Google Cloud's flexible and open infrastructure. Your responsibilities will include identifying and assessing large-scale AI opportunities, running benchmarks for existing models, developing migration paths, and analyzing cost-to-performance ratios. You'll work closely with internal Cloud AI teams to shape future offerings and remove implementation roadblocks.

The ideal candidate brings 5+ years of experience with cloud infrastructure and deep expertise in machine learning operations. You should be proficient in Python programming, familiar with major ML frameworks like TensorFlow and PyTorch, and have hands-on experience with containerization and Kubernetes. Experience with distributed training and performance optimization is crucial.

This role offers competitive compensation ($142,000-$211,000 base salary) plus bonus and equity, reflecting Google's investment in top talent. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries. The position offers the opportunity to influence cloud strategy while working with cutting-edge AI technology and infrastructure.

If you're passionate about AI infrastructure, enjoy solving complex technical challenges, and want to help organizations leverage cloud technology for innovation, this role offers an exciting opportunity to make a significant impact in the field of enterprise AI.