Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to support their sales teams in deploying Google Cloud's AI/ML accelerators (TPU/GPU). This role combines technical expertise in machine learning infrastructure with customer-facing responsibilities, making it ideal for those who excel at both technical implementation and business strategy.
The position requires deep expertise in cloud infrastructure, distributed training, and machine learning operations. You'll work with top customers, from AI innovators to large enterprises and startups, helping them leverage Google Cloud's accelerators for optimal performance and cost-effectiveness. Your responsibilities will include designing large-scale AI compute clusters, running benchmarks, and developing migration strategies.
The role offers an exciting opportunity to work with cutting-edge AI technology while directly influencing Google Cloud's strategy. You'll be part of a team that's shaping the future of enterprise AI infrastructure, working with the latest accelerators and machine learning frameworks. The position comes with a competitive compensation package, including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits.
Ideal candidates will have at least 5 years of experience with cloud infrastructure and strong expertise in Python, Kubernetes, and machine learning frameworks like TensorFlow and PyTorch. You should be comfortable with both technical implementation and customer engagement, as you'll be responsible for demonstrating Google Cloud's capabilities through POCs and benchmarking while building repeatable solutions for broader adoption.
This is an excellent opportunity for someone who wants to be at the forefront of enterprise AI infrastructure, combining technical expertise with business impact. You'll have the chance to work with industry-leading technology while helping shape the future of Google Cloud's AI offerings.