Field Solutions Architect, Generative AI, Google Cloud (English)

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

Description For Field Solutions Architect, Generative AI, Google Cloud (English)

Google Cloud is seeking a Generative AI Field Solutions Architect to play a crucial role in supporting their Cloud Sales and Engineering teams. This position sits at the intersection of artificial intelligence and cloud infrastructure, focusing on helping customers implement and optimize AI/ML and Generative AI solutions. The role combines technical expertise in machine learning, software engineering, and cloud architecture with customer-facing responsibilities.

As a Field Solutions Architect, you'll work with AI native customers, large enterprises, and early-stage AI startups to implement Google Cloud's cutting-edge AI technology. The position requires deep technical knowledge in Python, machine learning frameworks, and generative AI, along with the ability to architect complex systems and explain technical concepts to diverse audiences.

The ideal candidate will have 6+ years of experience in AI/ML, strong programming skills, and experience with modern ML frameworks. You'll be responsible for helping customers innovate faster using Google Cloud's flexible infrastructure, including AI Accelerators (TPU/GPU). The role involves hands-on technical work, from tuning models and optimizing performance to building repeatable technical assets and reference architectures.

This is an excellent opportunity for someone who combines technical depth with customer-facing skills and wants to work at the forefront of AI technology. You'll have the chance to influence Google Cloud's strategy and product direction while helping customers solve their most critical business problems using AI. The position offers exposure to cutting-edge technology and the opportunity to work with a wide range of customers, from startups to large enterprises.

Based in London, UK, this role requires English proficiency and willingness to travel. You'll be part of Google's larger mission to accelerate digital transformation across industries while working with some of the most advanced AI technology available today.

Last updated 3 hours ago

Responsibilities For Field Solutions Architect, Generative AI, Google Cloud (English)

  • Advise customers by understanding their business process and objectives
  • Architect AI-driven solutions spanning Data, AI, and Infrastructure
  • Work with customers, demonstrate features, tune models, optimize model performance
  • Build repeatable technical assets such as scripts, templates, reference architectures
  • Coordinate regional field enablement with leadership
  • Travel as needed

Requirements For Field Solutions Architect, Generative AI, Google Cloud (English)

Python
Kubernetes
  • Bachelor's degree in Computer Science, Data Science, or equivalent practical experience
  • 6 years of experience working in AI/ML as a technical sales engineer or in software engineering
  • Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Experience in Generative AI as a user or a developer
  • Experience delivering technical presentations and leading business value sessions in English
  • Experience in systems design and ML pipelines
  • Experience with full-stack ML engineering
  • Experience with implementing search concepts
  • Experience with semantic search frameworks

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