Field Solutions Architect, Generative AI, Google Cloud

Google Cloud is seeking a Generative AI Field Solutions Architect to drive innovation and implementation of AI/ML solutions. This role combines technical expertise with customer-facing responsibilities, requiring deep knowledge of machine learning, generative AI, and cloud infrastructure. You'll work with Google Cloud Sales and Engineering teams to help customers leverage AI technology effectively.

As a Field Solutions Architect, you'll be at the forefront of implementing Google Cloud's AI/ML and Generative AI technology across various customer segments, from AI native customers to large enterprises and early-stage AI startups. The role demands both technical depth in ML frameworks, system design, and AI implementation, as well as the ability to communicate complex technical concepts to diverse audiences.

The position offers unique opportunities to shape the future of AI implementation at scale, working with cutting-edge technology and directly influencing Google Cloud's product direction. You'll be responsible for architecting solutions, optimizing model performance, and creating repeatable technical assets that drive value for customers.

Key aspects of the role include advising customers on AI-driven solutions, conducting technical demonstrations, troubleshooting complex issues, and building scalable solutions. You'll work in a collaborative environment, partnering with various teams to deliver comprehensive cloud solutions that meet customer needs.

The ideal candidate combines strong technical skills in Python, ML frameworks, and generative AI with excellent communication abilities and a customer-centric mindset. This role offers the opportunity to work at the intersection of infrastructure and AI/ML, making a significant impact on how organizations leverage Google Cloud's technology for digital transformation.