Field Solution Architect, Vertex, Search, Google Cloud

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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python Combine Google Cloud TensorFlow Strategy

Job Description

[Taiwan Applicants]

Google welcomes people with disabilities.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hong Kong; Taipei, Taiwan.Minimum qualifications:

  • Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
  • 4 years of experience working in AI/ML as a technical sales engineer or in software engineering.
  • Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience in Generative AI as a user or a developer.
  • Experience delivering technical presentations and leading business value sessions.

Preferred qualifications:

  • Experience architecting MLOps systems in enterprise environments and building, scaling, and optimizing enterprise-grade Machine Learning systems.
  • Experience in systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
  • Experience in full-stack ML engineering to combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models.
  • Understanding of search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting.
  • Excellent infrastructure building and maintenance skills on the Google Cloud Platform (GCP) for data engineering pipelines.

About The Job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As an AI/ML Field Solutions Architect, you will support Google Cloud sales teams and engineering incubate, pilot, and deploy Google Cloud’s industry leading AI/ML and GenAI technology at AI natives and innovators, large enterprises, and early stage AI startups. You will help customers innovate faster with state of the art solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators (TPU/GPU).

In this role, you will identify, assess, and develop Generative AI (GenAI) and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work closely with internal Cloud AI teams to remove roadblocks and shape the future of our offerings.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.


  • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Architect AI-drive, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
  • Demonstrate how Google Cloud is differentiated by working with customers, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues training/serving models in a large scale environment.
  • Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
  • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement activities.
  • Travel as needed.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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