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

Google Cloud is seeking an Enterprise AI Infrastructure Field Solution Architect to support their sales teams in deploying AI/ML accelerators. This role combines technical expertise with customer-facing responsibilities, requiring deep knowledge of cloud infrastructure and machine learning technologies. The ideal candidate will have 5+ years of experience with cloud infrastructure and strong capabilities in Python, Kubernetes, and ML frameworks.

The position offers an exciting opportunity to work with cutting-edge AI technology, helping customers innovate faster using Google Cloud's flexible and open infrastructure. You'll be responsible for identifying and assessing large-scale AI opportunities, running benchmarks, developing migration paths, and analyzing cost-to-performance ratios. The role involves close collaboration with internal Cloud AI teams to shape future offerings and remove implementation roadblocks.

As a trusted advisor to top customers, you'll design large-scale training and inferencing platforms, demonstrate Google Cloud's differentiated features, and optimize model performance. The position requires both technical depth and customer engagement skills, as you'll be building repeatable assets and influencing Google Cloud's strategy at the intersection of infrastructure and AI/ML.

The compensation package is competitive, ranging from $142,000 to $211,000 base salary, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for someone passionate about AI infrastructure who wants to impact how enterprises implement and scale their AI initiatives while working for a global technology leader.