Senior AI Infrastructure Field Solutions Architect

Google; Atlanta (GA); On-site; USD 233,000 - 324,000; Full time

Job summary

Google Cloud is seeking an AI Infrastructure Field Solution Architect to help incubate, pilot, and roll out TPU and GPU hardware for customers ranging from startups to large enterprises. You will guide architecture discussions, support server and cluster provisioning, and visit client hosting facilities as needed.

You will drive cost-perf tradeoffs, assess models, develop migration paths, and partner with product/engineering to advance platform capabilities, enabling faster innovation for

Qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 10 years of experience with data center technologies, solutions and their deployment.
• Experience with data center networking, such as routing, switching, DNS, and IP addressing; compute and storage concepts; and operations including power, cooling, and procedures.
• Experience with AI model training and inference, deploying OSS frameworks such as PyTorch, Jax, etc., and optimizing performance versus costs.
• Experience with scripting and coding in Python, YAML, and Kubernetes.

Responsibilities

• Act as a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall business strategy by designing training and inferencing platforms, and incorporating customers' existing data center technologies.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on Proofs of Concept, demonstrating features, optimizing model performance, profiling, and benchmarking.
• Assist in production deployment of Google Cloud accelerators, troubleshoot integration issues with existing compute, networking, and storage solutions, and enable customers to operate their training and inferencing clusters successfully.
• Build repeatable assets to enable other customers and internal teams.
• Collaborate with the AI Infrastructure Dedicated Engineering Team in Google Compute Engine, and scale ML techniques and solutions broadly. Influence Google Cloud strategy at the intersection of infrastructure and AI by advocating for enterprise customer requirements.

Skills

Data center tech

Networking

AI model training

Python

YAML

Kubernetes

Education

Bachelor's degree in Science/Engineering/Math or equivalent

Tools

PyTorch

Jax

Kubernetes

Job description

Google Cloud is seeking an AI Infrastructure Field Solution Architect to help incubate, pilot, and roll out TPU and GPU hardware for customers ranging from startups to large enterprises. You will guide architecture discussions, support server and cluster provisioning, and visit client hosting facilities as needed.

You will drive cost-perf tradeoffs, assess models, develop migration paths, and partner with product/engineering to advance platform capabilities, enabling faster innovation for