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Field Solutions Architect, GenAI, Google Cloud
Seattle Staffing
- United States
- United States
Über
This opportunity will remain online based on business needs. 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 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 Austin, TX, USA Boulder, CO, USA Addison, TX, USA Kirkland, WA, USA Seattle, WA, USA Minimum qualifications: 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). Preferred qualifications: 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. About the job: 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 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. The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. 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, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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- English
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