Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to support their cloud sales teams. This role focuses on helping customers leverage Google Cloud's industry-leading AI/ML accelerators (TPU/GPU) to innovate and scale their AI initiatives. The position combines deep technical expertise in machine learning infrastructure with customer-facing responsibilities.
The ideal candidate will work with AI innovators, large enterprises, and AI startups to assess opportunities, run benchmarks, develop migration strategies, and optimize cost-performance ratios. They'll need strong skills in distributed training, cloud infrastructure, and ML frameworks like TensorFlow and PyTorch. The role involves both technical implementation and strategic advisory work.
Key responsibilities include designing large-scale training and inferencing platforms, conducting proofs of concept, optimizing model performance, and building repeatable solutions. The position offers competitive compensation ($147,000-$216,000 base + benefits) and the opportunity to shape Google Cloud's AI infrastructure strategy.
This is an excellent opportunity for someone passionate about AI infrastructure who wants to work with cutting-edge technology while helping customers succeed. The role requires both deep technical knowledge and strong customer-facing skills, offering a unique blend of hands-on technical work and strategic consulting.