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 Google Cloud's AI/ML accelerators (TPU/GPU) for various enterprises. This role combines technical expertise with customer-facing responsibilities, requiring deep knowledge of cloud infrastructure and AI/ML technologies. The position involves working with top customers to optimize their AI infrastructure, conduct benchmarks, and develop migration strategies.

As a Field Solution Architect, you'll be at the forefront of helping organizations leverage Google Cloud's AI capabilities. The role requires expertise in distributed training, performance optimization, and working with various ML frameworks. You'll be responsible for designing large-scale training and inferencing platforms, while also serving as a trusted advisor to customers implementing AI solutions.

The position offers competitive compensation ($147,000-$216,000 base salary) plus bonus and equity, along with comprehensive benefits. This is an excellent opportunity for someone with strong technical background in cloud infrastructure and AI/ML who enjoys customer interaction and wants to influence the future of cloud AI solutions. The role requires travel to customer sites and involves working with cutting-edge AI technologies and Google's industry-leading cloud infrastructure.

The ideal candidate will have experience with containerization, Kubernetes, and performance profiling tools, along with the ability to debug distributed training systems. You'll work closely with internal Cloud AI teams to shape product offerings and remove implementation roadblocks, making this an impactful role at the intersection of infrastructure and AI/ML.