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

Google Cloud is seeking an Enterprise AI Infrastructure Field Solution Architect to join their team. This role combines technical expertise in AI/ML with customer-facing responsibilities, focusing on helping organizations leverage Google Cloud's AI accelerators (TPU/GPU) effectively. The position requires deep knowledge of cloud infrastructure, distributed training, and machine learning frameworks.

As a Field Solution Architect, you'll work with Google Cloud's sales teams to implement AI solutions for various clients, from startups to large enterprises. Your responsibilities include assessing AI opportunities, conducting benchmarks, optimizing performance, and developing migration strategies. The role demands both technical proficiency and customer engagement skills.

The ideal candidate should have 5+ years of experience with cloud infrastructure and strong expertise in Python, machine learning frameworks, and containerization technologies. You'll need to understand distributed training, performance optimization, and have hands-on experience with tools like Kubernetes and TensorFlow.

This position offers competitive compensation ($142,000-$211,000) plus bonus, equity, and benefits. It provides an opportunity to work with cutting-edge AI technology while influencing Google Cloud's strategy and helping customers innovate. The role requires travel to customer sites and offers the chance to work with industry-leading AI infrastructure.

If you're passionate about AI infrastructure, have strong technical skills, and enjoy working directly with customers to solve complex problems, this role offers an excellent opportunity to make a significant impact in the field of enterprise AI solutions.