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.