Senior AI Infrastructure Field Architect

Google LLC; Chicago (IL); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health, dental, vision, life, and dis/

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google Cloud seeks an AI Infrastructure Field Solution Architect to accelerate TPU/GPU deployments for customers, guiding technical discussions on topology, fabric, and compute/storage integration. You will visit client facilities, evaluate tradeoffs, and partner with internal teams to evolve platform capabilities.

You will help customers design training and inference platforms, incorporate customers' data center technologies, and demonstrate Google Cloud's differentiating accelerator power

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 (routing, switching, DNS, IP addressing) and compute/storage operations.
• Experience with AI model training/inference, deploying OSS frameworks such as PyTorch, Jax, etc., and optimizing performance vs. cost.
• Experience with scripting and coding in Python, YAML, and Kubernetes.

Responsibilities

• Guide discussions on network topologies and fabric architecture for AI deployments.
• Support server and cluster provisioning, including on-site client visits.
• Assess opportunities, model baselines, migration paths, and silicon integration into roadmaps.
• Collaborate with product/engineering to remove roadblocks and shape platform capabilities.
• Create repeatable assets and work with teams to scale AI accelerators across customers.

Skills

Data center networking

AI model training

PyTorch

Jax

Kubernetes

Python

YAML

Education

Bachelor's degree in STEM or equivalent

Tools

PyTorch

Jax

Kubernetes

Python

YAML

Job description

Google Cloud seeks an AI Infrastructure Field Solution Architect to accelerate TPU/GPU deployments for customers, guiding technical discussions on topology, fabric, and compute/storage integration. You will visit client facilities, evaluate tradeoffs, and partner with internal teams to evolve platform capabilities.

You will help customers design training and inference platforms, incorporate customers' data center technologies, and demonstrate Google Cloud's differentiating accelerator power