Google Cloud is seeking a Generative AI Field Solutions Architect to support their Cloud Sales and Engineering teams in implementing AI/ML and Generative AI technology. This role combines technical expertise in machine learning with customer-facing responsibilities, making it ideal for those with both strong technical skills and business acumen.
The position involves working with AI native customers, large enterprises, and early-stage AI startups to implement Google Cloud's AI solutions. You'll be responsible for helping customers innovate using Google Cloud's flexible infrastructure, including AI Accelerators (TPU/GPU). The role requires expertise in Python, machine learning frameworks, and Generative AI, along with the ability to architect and explain complex ML systems.
As a Field Solutions Architect, you'll be at the forefront of AI implementation, working with cutting-edge technology while helping shape the future of Google Cloud's offerings. You'll have the opportunity to influence product direction and strategy by advocating for enterprise customer requirements. The position offers exposure to various aspects of AI implementation, from technical architecture to business strategy.
The ideal candidate should have 6 years of experience in AI/ML, strong technical skills in Python and ML frameworks, and excellent communication abilities for delivering technical presentations. You'll be joining Google Cloud, a trusted partner for organizations worldwide, offering the chance to work with industry-leading technology and contribute to digital transformation across various sectors.
This role combines technical depth with customer interaction, making it perfect for those who enjoy both solving complex technical challenges and working directly with clients. You'll be part of Google's inclusive culture while helping shape the future of AI implementation in enterprise environments.