Field Solution Architect II, AI Infrastructure, West, Google Cloud

Google Cloud accelerates organizations' digital transformation, delivering enterprise-grade solutions leveraging cutting-edge technology.
$142,000 - $211,000
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Description For Field Solution Architect II, AI Infrastructure, West, Google Cloud

Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to support their sales teams in deploying industry-leading AI/ML accelerators. This role combines technical expertise in machine learning infrastructure with customer-facing responsibilities, making it perfect for those who excel at both technical implementation and strategic advisory.

The position involves working with AI innovators, large enterprises, and early-stage AI startups to implement Google Cloud's TPU/GPU solutions. You'll be responsible for identifying and assessing large-scale AI opportunities, helping customers optimize their use of accelerators, conducting benchmarks, and developing migration strategies.

As a trusted advisor, you'll need deep technical knowledge in cloud infrastructure, distributed training, and machine learning frameworks, combined with the ability to communicate complex technical concepts to various stakeholders. The role requires 5 years of experience with cloud infrastructure and hands-on experience with ML frameworks and orchestration tools.

The position offers competitive compensation ($142,000-$211,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with cutting-edge technology and contributing to the future of AI infrastructure solutions.

This is an excellent opportunity for someone who wants to impact how enterprises implement AI solutions while working with Google's industry-leading technology. The role offers significant growth potential and the chance to shape the future of cloud AI infrastructure.

Last updated 3 days ago

Responsibilities For Field Solution Architect II, AI Infrastructure, West, Google Cloud

  • Become trusted advisors to customers, helping them understand and incorporate AI accelerators into their cloud strategy
  • Demonstrate Google Cloud differentiation through POCs, feature demonstrations, and performance optimization
  • Build repeatable assets to enable other customers and internal teams
  • Influence Google Cloud strategy at the intersection of infrastructure and AI/ML
  • Travel to customer sites and events as needed

Requirements For Field Solution Architect II, AI Infrastructure, West, Google Cloud

Python
Kubernetes
  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  • 5 years of experience with cloud infrastructure
  • Experience with distributed training and optimizing performance versus costs
  • Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax
  • Experience with orchestrators such as Slurm or Kubernetes
  • Experience building and operationalizing machine learning models

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