Senior AI Infrastructure Field Solutions Architect

Google; Austin (TX); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year (Seattle 69)

Maternity leave 28–30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google Cloud is seeking an AI Infrastructure Field Solution Architect to help customers deploy TPU and GPU hardware and integrate accelerators into scalable AI workflows.

You will lead on-site assessments, design training and inferencing platforms, and partner with product and engineering teams to remove roadblocks and shape future capabilities. This is a senior, enterprise-facing role.

Qualifications

• 10 years in data center tech and deployment.
• Experience with AI model training and OSS frameworks.
• Proficient in Python, YAML and Kubernetes.

Responsibilities

• Advise customers on AI accelerator integration and platform design.
• Lead on-site assessments and deployment of TPU/GPU hardware.
• Collaborate with product/engineering to remove roadblocks.
• Develop repeatable assets and scalable ML deployment approaches.
• Communicate tradeoffs between cost and performance.

Skills

Data center technologies

Data center networking

AI model training

Python

Kubernetes

Education

Bachelor's degree in STEM or equivalent

Tools

PyTorch

Jax

TensorFlow

Job description

Google Cloud is seeking an AI Infrastructure Field Solution Architect to help customers deploy TPU and GPU hardware and integrate accelerators into scalable AI workflows.

You will lead on-site assessments, design training and inferencing platforms, and partner with product and engineering teams to remove roadblocks and shape future capabilities. This is a senior, enterprise-facing role.