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

Google Cloud accelerates organizations' digital transformation, delivering enterprise-grade solutions leveraging cutting-edge technology.
$147,000 - $216,000
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud
This job posting may no longer be active. You may be interested in these related jobs instead:
Software Developer III, AI/ML GenAI, Applied AI

Software Developer III position at Google focusing on AI/ML and GenAI implementation, requiring 2 years of software development experience and expertise in machine learning infrastructure.

Software Developer III, AI/ML Natural Language Processing, Google Workspace

Software Developer III position at Google focusing on AI/ML Natural Language Processing for Google Workspace, combining software engineering with machine learning expertise.

Software Developer III, Google Cloud AI

Software Developer III position at Google Cloud AI, focusing on developing AI solutions for financial services industry, requiring 2+ years of software development experience.

Cloud Engineer II, AI/ML, Professional Services (English, Spanish)

Cloud Engineer II position at Google Cloud focusing on AI/ML solutions, requiring 6 years of ML experience and fluency in English and Spanish.

App Development Customer Engineer, Global Partnerships Sellside

App Development Customer Engineer role at Google focusing on AI/ML solutions for EMEA partners, requiring 6 years of experience and deep technical expertise.

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 sits at the intersection of cloud infrastructure and artificial intelligence, supporting Google Cloud's mission to accelerate digital transformation across industries.

As an Enterprise AI Infrastructure Field Solution Architect, you'll work with industry-leading AI/ML accelerators (TPU/GPU) to help customers innovate and implement state-of-the-art solutions. The position requires a deep understanding of cloud infrastructure, distributed training, and machine learning operations, making it perfect for those with both technical expertise and customer-facing skills.

The role offers an exciting opportunity to work with cutting-edge technology while directly impacting how organizations implement AI solutions. You'll be responsible for identifying and assessing large-scale AI opportunities, running benchmarks, developing migration paths, and analyzing cost-to-performance ratios. This position combines technical expertise with strategic thinking, as you'll help shape the future of Google Cloud's AI offerings while working closely with internal Cloud AI teams.

The compensation package is competitive, ranging from $147,000 to $216,000 base salary, plus bonus, equity, and comprehensive benefits. This position offers the chance to work with top customers across multiple locations, including major tech hubs like New York, Boston, and London.

The ideal candidate will have at least 5 years of experience with cloud infrastructure, strong programming skills in Python, and extensive knowledge of machine learning frameworks and orchestration tools. You'll need to be comfortable with both the technical aspects of AI infrastructure and the strategic elements of customer engagement.

This role represents an excellent opportunity for someone looking to work at the forefront of AI technology while making a significant impact on how enterprises adopt and implement AI solutions at scale.

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
  • 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, 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

  • bonus
  • equity
  • benefits package

Interested in this job?