Field Solution Architect II, AI Infrastructure, Google Cloud

Google Cloud accelerates organizations' digital transformation, delivering enterprise-grade solutions leveraging cutting-edge technology.
$142,000 - $211,000
Machine Learning
Staff Software Engineer
Hybrid
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) for innovation and deployment. The position requires extensive experience in cloud infrastructure, distributed training, and machine learning model optimization.

The ideal candidate will work with AI innovators, large enterprises, and early-stage AI startups to implement and optimize Google Cloud's flexible and open infrastructure. They will be responsible for identifying large-scale AI opportunities, conducting benchmarks, developing migration paths, and analyzing cost-to-performance ratios. The role involves close collaboration with internal Cloud AI teams to shape future offerings and remove implementation roadblocks.

Key responsibilities include becoming a trusted advisor to customers, designing large-scale training and inferencing platforms, demonstrating Google Cloud's differentiation through POCs and optimization, and building repeatable assets. The position offers competitive compensation including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits.

This is an excellent opportunity for experienced professionals who are passionate about AI infrastructure and cloud computing, with the ability to bridge technical expertise with customer solutions. The role requires strong technical skills in Python, Kubernetes, and machine learning frameworks, combined with the ability to influence strategy and drive customer success in AI/ML implementations.

Last updated a month ago

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

  • Become trusted advisors to customers, helping them understand and incorporate AI accelerators into their cloud strategy
  • Design large-scale training and inferencing platforms
  • 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, 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

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

Medical Insurance
Dental Insurance
Vision Insurance
  • Bonus
  • Equity
  • Benefits package

Interested in this job?

Jobs Related To Google Field Solution Architect II, AI Infrastructure, Google Cloud

Staff Research Scientist, Google Cloud AI

Staff Research Scientist position at Google Cloud AI, focusing on advanced AI research and development with competitive compensation and benefits.

Senior Product Manager, AI Innovation and Research

Lead AI innovation and product development at Google, driving the future of AI-powered devices and services with competitive compensation and benefits.

Senior Research Scientist, Google Cloud AI

Senior Research Scientist position at Google Cloud AI, focusing on advancing AI technology and research across various industries with competitive compensation and benefits.

Senior Research Scientist, Interactive Recommender Systems

Senior Research Scientist position at Google Research focusing on interactive recommender systems, machine learning, and AI, offering competitive compensation and opportunities for impactful research.

Senior Staff Research Scientist

Senior Staff Research Scientist position at Google Research, focusing on machine learning and AI development with competitive compensation and hybrid work arrangement.