Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to join their team. This role sits at the intersection of cloud infrastructure and artificial intelligence, supporting Google Cloud's sales teams in deploying AI/ML accelerators (TPU/GPU) for various enterprises. The position requires a deep understanding of cloud infrastructure, machine learning, and distributed systems.
As a Field Solution Architect, you'll work with AI innovators, large enterprises, and early-stage AI startups to implement Google Cloud's state-of-the-art solutions. Your responsibilities will include identifying large-scale AI opportunities, helping customers optimize their use of accelerators, conducting benchmarks, and developing migration strategies. You'll also play a crucial role in shaping the future of Google Cloud's offerings by providing feedback based on customer requirements.
The ideal candidate should have extensive experience with cloud infrastructure, distributed training, and machine learning frameworks. You'll need strong coding skills in Python and familiarity with tools like TensorFlow, PyTorch, and Kubernetes. The role offers competitive compensation ranging from $142,000 to $211,000, plus bonus, equity, and comprehensive benefits.
This position offers the opportunity to work with cutting-edge AI technology while helping organizations transform their businesses. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in more than 200 countries. The role combines technical expertise with customer-facing responsibilities, making it ideal for those who enjoy both technical challenges and strategic consulting.