Taro Logo

Field Solutions Architect, Generative AI Technologies, Google Cloud

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

Job Description

Google Cloud is seeking a Field Solutions Architect specializing in Generative AI Technologies to support their sales organization. This role combines technical expertise in AI/ML with customer-facing responsibilities, focusing on building rapid prototypes and demonstrating Google Cloud's capabilities.

The position requires deep technical knowledge in machine learning, particularly in areas like deep learning, natural language processing, and computer vision. You'll work with Python and frameworks like TensorFlow/PyTorch to develop innovative solutions. The role involves both hands-on development and strategic consultation, helping customers implement and optimize their AI solutions.

As a Field Solutions Architect, you'll be responsible for designing AI-driven solutions, creating technical assets, and influencing product strategy. The role offers competitive compensation ($147,000-$216,000 + bonus + equity) and the opportunity to work with cutting-edge AI technologies at one of tech's leading companies.

This is an ideal position for someone with strong technical skills in AI/ML who enjoys customer interaction and wants to help shape the future of cloud AI solutions. The role requires travel and offers multiple location options across major US tech hubs. You'll be part of Google Cloud's mission to accelerate digital transformation across industries while working with the latest in generative AI technology.

Last updated 6 days ago

Responsibilities For Field Solutions Architect, Generative AI Technologies, Google Cloud

  • Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure
  • Demonstrate Google Cloud differentiation through application prototypes
  • Build repeatable technical assets (scripts, templates, reference architectures)
  • Work cross-functionally to influence Google Cloud strategy and product direction
  • Coordinate regional field enablement with leadership

Requirements For Field Solutions Architect, Generative AI Technologies, Google Cloud

Python
Python
  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
  • 6 years of experience in a statistical programming language (e.g., Python)
  • Experience in Artificial Intelligence applications
  • Experience delivering technical presentations and leading business value sessions

Benefits For Field Solutions Architect, Generative AI Technologies, Google Cloud

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