FAQs
What are the minimum qualifications for this position?
The minimum qualifications include a Bachelor's degree in Computer Science, Data Science, or equivalent practical experience, along with 6 years of experience in AI/ML as a technical sales engineer or in software engineering, proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch), and experience in Generative AI as a user or developer.
What are the preferred qualifications for this role?
The preferred qualifications include experience in systems design, full-stack ML engineering, implementing search concepts such as indexing and query expansion, familiarity with semantic search frameworks and tools/databases, and understanding of nearest neighbors search concepts.
Where will this position be based?
This position can be based in Berlin, Hamburg, or Munich, Germany.
What is the primary responsibility of a Field Solutions Architect, GenAI?
The primary responsibility is to support Google Cloud Sales and Engineering teams in incubating, piloting, and deploying Google Cloud AI/ML and Generative AI technology with various customers, including AI native companies and large enterprises.
Will there be travel required in this role?
Yes, travel may be required as needed.
How does this role support customer innovation?
This role helps customers innovate faster by applying Google Cloud’s flexible and open infrastructure, including AI Accelerators (TPU/GPU), and by developing GenAI and AI/ML applications to solve problems.
What types of customers will I be working with?
You will work with AI native customers, large enterprises, and early-stage AI startups.
What types of technical assets are expected to be built in this role?
You are expected to build repeatable technical assets such as scripts, templates, and reference architectures to enable other customers and internal teams.
What kind of support will I provide to customers?
You will advise customers by understanding their business processes and objectives, demonstrating features, tuning models, optimizing performance, and troubleshooting issues related to training and serving models in a large-scale environment.
Is Google committed to diversity and inclusion in the workplace?
Yes, Google is proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of various characteristics such as race, gender identity, and disability.