Field Solution Architect, Search AI, Google Cloud

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 solutions. This role combines technical expertise in machine learning with customer-facing responsibilities, making it ideal for someone who can bridge the gap between complex AI systems and business value.

As a Field Solution Architect, you'll work with AI native customers, large enterprises, and early-stage AI startups to implement Google Cloud's AI solutions. The role requires deep technical knowledge in machine learning, particularly in areas like RAG models, semantic search, and ML pipelines, while also demanding strong communication skills to deliver technical presentations and lead business value sessions.

The position offers the opportunity to work with cutting-edge AI technology, including Google's AI Accelerators (TPU/GPU), and influence Google Cloud's strategy and product direction. You'll be responsible for architecting AI-driven solutions, optimizing model performance, and building repeatable technical assets that enable both customers and internal teams.

The ideal candidate should have at least 6 years of experience in AI/ML, strong Python programming skills, and experience with machine learning frameworks. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in more than 200 countries and territories.

This role offers the chance to work at the forefront of AI technology while making a significant impact on how businesses implement and utilize AI solutions. You'll be part of a company known for its cutting-edge technology and commitment to innovation, with opportunities to shape the future of enterprise AI solutions.