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Field Solution Architect II, AI Infrastructure, Google Cloud

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$147,000 - $216,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

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

Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to support their cloud sales teams. This role focuses on helping customers leverage Google Cloud's industry-leading AI/ML accelerators (TPU/GPU) to innovate and scale their AI initiatives. The position combines deep technical expertise in machine learning infrastructure with customer-facing responsibilities.

The ideal candidate will work with AI innovators, large enterprises, and AI startups to assess opportunities, run benchmarks, develop migration strategies, and optimize cost-performance ratios. They'll need strong skills in distributed training, cloud infrastructure, and ML frameworks like TensorFlow and PyTorch. The role involves both technical implementation and strategic advisory work.

Key responsibilities include designing large-scale training and inferencing platforms, conducting proofs of concept, optimizing model performance, and building repeatable solutions. The position offers competitive compensation ($147,000-$216,000 base + benefits) and the opportunity to shape Google Cloud's AI infrastructure strategy.

This is an excellent opportunity for someone passionate about AI infrastructure who wants to work with cutting-edge technology while helping customers succeed. The role requires both deep technical knowledge and strong customer-facing skills, offering a unique blend of hands-on technical work and strategic consulting.

Last updated 2 days ago

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

  • Become trusted advisors to customers, helping them understand and incorporate AI accelerators
  • Demonstrate Google Cloud differentiation through POCs, feature demos, 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, 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
  • Experience with orchestrators such as Slurm or Kubernetes
  • Experience building and operationalizing machine learning models

Benefits For Field Solution Architect II, AI Infrastructure, Google Cloud

Medical Insurance
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

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