Google Cloud is seeking a Generative AI Field Solutions Architect to join their team in Taipei. This role sits at the intersection of technical expertise and customer success, supporting Google Cloud's AI/ML and Generative AI initiatives. The position requires a strong background in machine learning, with 6 years of experience in AI/ML as either a technical sales engineer or software engineer.
The ideal candidate will work closely with Google Cloud Sales and Engineering teams to help customers implement and optimize AI solutions. You'll be responsible for architecting AI-driven solutions, optimizing model performance, and building repeatable technical assets. The role involves hands-on work with machine learning frameworks, particularly in Python, and requires experience with both the technical and business aspects of AI implementation.
This is an excellent opportunity for someone passionate about AI who wants to work with cutting-edge technology at one of the world's leading tech companies. You'll be directly involved in helping customers innovate using Google Cloud's flexible and open infrastructure, including AI Accelerators (TPU/GPU). The role offers the chance to shape the future of Google Cloud's AI offerings while working with a diverse range of customers, from AI native companies to large enterprises and startups.
The position requires strong technical skills, including experience with Python and ML frameworks, combined with excellent communication abilities for delivering technical presentations. You'll need to understand complex systems design, data pipelines, and ML training approaches. Knowledge of semantic search frameworks and experience with implementing search concepts are highly valued.
Working at Google Cloud means being part of a team that accelerates digital transformation across industries, with customers in more than 200 countries. The company offers a collaborative environment and is committed to diversity and inclusion, making it an ideal place for professionals looking to make a significant impact in the AI field.