Field Solutions Architect, GenAI, Cloud

Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Cambridge, MA, USA;
Chicago, IL, USA;
Los Angeles, CA, USA;
Mountain View, CA, USA;
New York, NY, USA;
Reston, VA, USA;
Seattle, WA, USA;
San Francisco, CA, USA;
Washington D.C., DC, USA
.

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 3 years of experience in Python and relevant machine learning packages (e.g., Keras, Pytorch, HF Transformers).
• Experience in applied AI, with a focus on building systems around pretrained 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 (e.g., Google Cloud Platform).

• Master's degree in Computer Science, Engineering, or a related technical field.
• Experience working with customers in a technical capacity.
• Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns such as "Plan-and-Execute," multi-agent collaboration, and self-reflection loops.
• Experience in software engineering management or project/program management.
• Experience training and fine-tuning models in large-scale environments using accelerators, with a proven track record of deploying production-grade AI agents that utilize tool-use (function calling) and state management.
• Ability to maintain a startup mentality and a bias for action focused on customer solutions.

As a Field Solutions Architect (FSA), you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will focus on frontier AI, including Generative AI (GenAI), in a highly technical customer-facing role. The FSA’s primary responsibility is to bridge the gap between our AI products and customers' real-world business problems. Unlike a traditional sales engineer, the FSA owns end-to-end technical delivery from understanding client needs to architecting, building, and deploying solutions directly on customer infrastructure.

This role requires a blend of technical expertise, problem-solving, and communication, with significant customer collaboration and travel. You will construct rapid-prototype Generative AI applications tailored to Google Cloud customers, ranging from early-stage startups to prominent, established companies. As a hybrid professional, you will blend engineering core competencies with an aptitude for customer engagement and problem-solving. This often involves leading with bespoke implementation as the primary value proposition, ensuring our core technology delivers demonstrable value within the customer's unique operational context.

Finally, you will collaborate closely with product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings, translating one-off customer solutions into reusable, scalable assets.

Google Cloud accelerates…