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

Google Cloud provides enterprise-grade solutions leveraging cutting-edge technology to help organizations digitally transform.
$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, North, Google Cloud

Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to join their team. This role combines technical expertise in machine learning infrastructure with customer-facing responsibilities. The position involves supporting Google Cloud sales teams to implement and optimize AI/ML accelerators (TPU/GPU) for various clients, from startups to large enterprises.

The ideal candidate will have strong experience with cloud infrastructure, distributed training, and machine learning frameworks. They'll need to demonstrate proficiency in Python programming, working with containerization technologies like Kubernetes, and understanding complex ML model deployment and optimization.

Key responsibilities include designing large-scale training and inferencing platforms, conducting proof of concepts, optimizing model performance, and building repeatable solutions. The role requires both technical depth in AI infrastructure and the ability to act as a trusted advisor to customers.

The position offers competitive compensation ($142,000-$211,000) plus bonus, equity, and benefits. It provides an opportunity to work with cutting-edge AI technology while shaping Google Cloud's enterprise AI strategy. The role requires travel to customer sites and offers multiple location options including New York, Boston, Chicago, and Washington D.C.

This is an excellent opportunity for someone passionate about AI infrastructure who wants to impact how enterprises implement and scale their AI initiatives. The role combines technical expertise with strategic thinking, requiring someone who can both understand complex technical requirements and translate them into practical solutions for customers.

Last updated a month ago

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

  • Become trusted advisors to top 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, North, 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, North, Google Cloud

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • bonus
  • equity
  • benefits

Interested in this job?

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

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

Field Solution Architect II position at Google Cloud focusing on AI infrastructure implementation and optimization, requiring 5+ years of cloud experience and ML expertise.

Research Scientist

Research Scientist position at Google Research, focusing on machine learning and AI development with competitive compensation and benefits.

Research Scientist, Google Research Australia

Research Scientist position at Google Research Australia, focusing on machine learning and AI research, requiring PhD and publication experience.

Software Developer III, AI/ML, Google Cloud AI

Software Developer III position at Google Cloud AI, focusing on machine learning research and development with opportunities to impact billions of users globally.

Software Developer III, AI/Machine Learning

Software Developer III role at Google Cloud focusing on AI/ML development, requiring 2 years of experience in software development and machine learning technologies.