Google
Field Solutions Architect III, Google Cloud, Generative AI
Join to apply for the Field Solutions Architect III, Google Cloud, Generative AI role at Google.
The application window will be open until at least October 20, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Washington D.C., DC, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Addison, TX, USA; Miami, FL, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go).
Experience in applied AI, with a focus on designing and evaluating systems around foundation models (e.g., prompt engineering, fine‑tuning, RAG, orchestrating model interactions with external tools to deliver solutions).
Experience architecting, deploying, or managing solutions on a cloud platform.
Master's degree in Computer Science, Engineering, or a related technical field.
Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
Experience with distributed training and optimizing performance versus costs.
Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
Ability to demonstrate a founder or startup CTO mentality with a bias for action and applying product insights to solve immediate customer issues and unlock long‑term value.
Responsibilities
Be a trusted advisor to customers by understanding their business process and objectives. Design and build end‑to‑end GenAI‑driven solutions spanning AI, Data, and Infrastructure. Work with peers to include the full cloud stack into overall architecture.
Build production‑grade prototypes that deliver measurable outcomes (e.g., write custom code, integrate disparate data sources, design data ontologies, deploy solutions on customer infrastructure).
Represent the customer, gathering real‑time feedback and insights. Formalize and abstract field‑tested solutions into reusable modules or new product features to drive product innovation. Establish technical and business cases to support recommendations.
Work cross‑functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for customer requirements.
Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. 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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The application window will be open until at least October 20, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Washington D.C., DC, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Addison, TX, USA; Miami, FL, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go).
Experience in applied AI, with a focus on designing and evaluating systems around foundation models (e.g., prompt engineering, fine‑tuning, RAG, orchestrating model interactions with external tools to deliver solutions).
Experience architecting, deploying, or managing solutions on a cloud platform.
Master's degree in Computer Science, Engineering, or a related technical field.
Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
Experience with distributed training and optimizing performance versus costs.
Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
Ability to demonstrate a founder or startup CTO mentality with a bias for action and applying product insights to solve immediate customer issues and unlock long‑term value.
Responsibilities
Be a trusted advisor to customers by understanding their business process and objectives. Design and build end‑to‑end GenAI‑driven solutions spanning AI, Data, and Infrastructure. Work with peers to include the full cloud stack into overall architecture.
Build production‑grade prototypes that deliver measurable outcomes (e.g., write custom code, integrate disparate data sources, design data ontologies, deploy solutions on customer infrastructure).
Represent the customer, gathering real‑time feedback and insights. Formalize and abstract field‑tested solutions into reusable modules or new product features to drive product innovation. Establish technical and business cases to support recommendations.
Work cross‑functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for customer requirements.
Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. 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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