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 mission to accelerate digital transformation across industries.
As an Enterprise AI Infrastructure Field Solution Architect, you'll work with industry-leading AI/ML accelerators (TPU/GPU) to help customers innovate and implement state-of-the-art solutions. The position requires a deep understanding of cloud infrastructure, distributed training, and machine learning operations, making it perfect for those with both technical expertise and customer-facing skills.
The role offers an exciting opportunity to work with cutting-edge technology while directly impacting how organizations implement AI solutions. You'll be responsible for identifying and assessing large-scale AI opportunities, running benchmarks, developing migration paths, and analyzing cost-to-performance ratios. This position combines technical expertise with strategic thinking, as you'll help shape the future of Google Cloud's AI offerings while working closely with internal Cloud AI teams.
The compensation package is competitive, ranging from $147,000 to $216,000 base salary, plus bonus, equity, and comprehensive benefits. This position offers the chance to work with top customers across multiple locations, including major tech hubs like New York, Boston, and London.
The ideal candidate will have at least 5 years of experience with cloud infrastructure, strong programming skills in Python, and extensive knowledge of machine learning frameworks and orchestration tools. You'll need to be comfortable with both the technical aspects of AI infrastructure and the strategic elements of customer engagement.
This role represents an excellent opportunity for someone looking to work at the forefront of AI technology while making a significant impact on how enterprises adopt and implement AI solutions at scale.