Google Cloud is seeking an Enterprise AI Infrastructure Field Solution Architect to support their sales teams in deploying AI/ML accelerators for various enterprises. This role combines technical expertise in cloud infrastructure with customer-facing responsibilities, focusing on helping organizations leverage Google Cloud's AI-optimized infrastructure.
The position requires deep technical knowledge in cloud computing, distributed systems, and machine learning, with hands-on experience in Python programming and frameworks like TensorFlow and PyTorch. You'll work with cutting-edge AI technology, including TPU/GPU accelerators, helping customers optimize their AI workloads for performance and cost efficiency.
As a Field Solution Architect, you'll serve as a trusted advisor to top customers, designing large-scale training and inferencing platforms. Your responsibilities include conducting proof-of-concepts, performance optimization, and benchmarking to demonstrate Google Cloud's capabilities. The role offers the opportunity to influence Google Cloud's strategy by advocating for enterprise customer requirements.
The position offers competitive compensation, including a base salary range of $147,000-$216,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for someone passionate about AI infrastructure who wants to work at the intersection of cutting-edge technology and enterprise solutions, helping shape the future of cloud computing and artificial intelligence.