Field Solutions Architect II, Google Cloud, Generative AI

Field Solutions Architect II, Google Cloud, Generative AI

Locations:
Addison, TX;
Atlanta, GA;
Austin, TX;
Boulder, CO;
Chicago, IL;
Los Angeles, CA

Job level:
Mid

Application window:
Until at least January 13, 2026, and may remain open based on business needs. Applicants in Los Angeles County will be considered under the Fair Chance Ordinance.

This role may also be located in our Playa Vista, CA campus.

As a Field Solutions Architect in the Google Cloud AI Go‑To‑Market team, you will bridge the gap between frontier AI products and real‑world business issues. You will lead technical delivery from initial discovery to architecting and deploying GenAI solutions on customer infrastructure. This hybrid role requires deep technical skill, problem‑solving, and a commitment to customer‑centric innovation. You will build rapid prototypes for a range of clients and collaborate with Product, Engineering, and external stakeholders to scale solutions into reusable assets.

This involves influencing product roadmaps and driving adoption of Google Cloud’s GenAI offerings by delivering high‑value, bespoke implementations.

The US base salary range for this full‑time position is $147,000–$216,000 + bonus + equity + benefits.

• Be a trusted advisor to customers, understanding their business processes and objectives.
• Design and build GenAI‑driven solutions spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
• Build production‑grade prototypes that deliver measurable outcomes (e.g., custom code, integrate disparate data sources, design data ontologies, deploy solutions on customer infrastructure).
• Represent the customer, gathering real‑time feedback and insights, and formalize 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.
• Coordinate regional field enablement with leadership and collaborate with product and partner organizations on external enablement.
• Travel as needed.

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• 6 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, Hugging Face Transformers).
• Experience in applied AI, focusing on designing systems around foundation models (prompt engineering, fine‑tuning, RAG, orchestrating model interactions with external tools).
• 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 cost.
• Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
• Ability to apply a founder‑level engineering mentality to prioritize rapid action and resolve customer issues.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google’s EEO Policy, Workplace Discrimination is Illegal, Belonging at Google, and How We Hire.

English proficiency is a requirement for all roles.

Google does not accept agency resumes; please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.