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

As an Enterprise AI Infrastructure Field Solution Architect at Google Cloud, you'll play a crucial role in supporting sales teams to implement Google Cloud's AI/ML accelerators (TPU/GPU) for various clients. The position combines technical expertise in AI infrastructure with customer-facing responsibilities, requiring deep knowledge of cloud computing, machine learning, and distributed systems.

You'll work with AI innovators, large enterprises, and AI startups, helping them leverage Google Cloud's flexible and open infrastructure. Your responsibilities include identifying and assessing large-scale AI opportunities, conducting benchmarks, developing migration paths, and analyzing cost-to-performance ratios. The role requires expertise in Python, Kubernetes, and various ML frameworks like TensorFlow and PyTorch.

The position offers competitive compensation ($147,000-$216,000) plus bonus, equity, and comprehensive benefits. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries. The role requires 5+ years of experience with cloud infrastructure and strong skills in distributed training and ML model operationalization.

This is an excellent opportunity for someone passionate about AI infrastructure who wants to impact how enterprises implement and scale their AI solutions. You'll work at the cutting edge of technology, helping shape the future of Google Cloud's AI offerings while directly contributing to customer success. The role combines technical depth with strategic thinking, requiring both hands-on technical skills and the ability to influence cloud strategy based on enterprise customer needs.