Field Solution Architect II, AI Infrastructure, South, 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. The position requires deep knowledge of cloud infrastructure, distributed training, and ML frameworks to help customers leverage Google Cloud's AI/ML accelerators (TPU/GPU) effectively.

As an Enterprise AI Infrastructure Field Solution Architect, you'll work with sales teams to implement Google Cloud's AI solutions for various clients, from startups to large enterprises. Your responsibilities include assessing AI opportunities, conducting benchmarks, optimizing model performance, and developing migration strategies. The role requires both technical depth in ML infrastructure and the ability to serve as a trusted advisor to customers.

The ideal candidate brings 5+ years of cloud infrastructure experience, strong programming skills in Python, and extensive knowledge of ML frameworks and orchestration tools. You should be comfortable with distributed training, performance optimization, and working with large-scale AI compute clusters. Experience with containerization and performance profiling tools is highly valued.

This position offers competitive compensation ($142,000-$211,000 base salary) plus bonus and equity, reflecting Google's commitment to attracting top talent. You'll be part of Google Cloud's mission to accelerate digital transformation across industries while working with cutting-edge AI technology. The role provides opportunities to influence product strategy and build solutions that shape the future of enterprise AI infrastructure.

If you're passionate about AI infrastructure, enjoy solving complex technical challenges, and want to help organizations innovate with state-of-the-art solutions, this role offers an exciting opportunity to make a significant impact in the field of enterprise AI.