Field Solution Architect II, AI Infrastructure, North, 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. As an Enterprise AI Infrastructure Field Solution Architect, you'll work with Google Cloud's sales teams to implement and optimize AI/ML accelerators (TPU/GPU) for various clients, from startups to large enterprises.

The position requires deep technical knowledge in cloud infrastructure, distributed training, and machine learning operations. You'll be responsible for identifying and assessing large-scale AI opportunities, helping customers leverage accelerators within their cloud strategy, and conducting performance benchmarks. The role involves close collaboration with internal Cloud AI teams to shape future offerings and remove implementation roadblocks.

This is an excellent opportunity for someone with strong technical background in ML infrastructure who wants to make a direct impact on how organizations implement AI solutions. The role offers competitive compensation ($147,000-$216,000 + bonus + equity + benefits) and the chance to work with cutting-edge AI technology at scale.

Key responsibilities include designing large-scale training and inferencing platforms, optimizing model performance, and building repeatable solutions. You'll need expertise in Python, Kubernetes, and ML frameworks like TensorFlow and PyTorch. The ideal candidate will have experience with containerization, performance profiling, and designing large-scale AI compute clusters.

Working at Google Cloud means being part of a team that enables digital transformation across industries, with customers in more than 200 countries. The role offers the opportunity to shape the future of AI infrastructure while working with industry-leading technology and diverse, innovative teams.