Field Solutions Architect III, Generative AI, Google Public Sector

info_outline XMust be a US Citizen to meet customer and compliance requirements, including potential access to classified information. 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year The application window will be open until at least July 12, 2026. 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: Reston, VA, USA; Washington D.C., DC, USA; New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Sunnyvale, CA, USA. Minimum qualifications: 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. Active, or the ability to obtain, Top Secret/SCI security clearance. Preferred qualifications: Master's degree in Computer Science, Engineering, or a related technical field. Experience with distributed training and optimizing performance versus costs. Experience supporting or selling to U.S. federal customers. Experience in system design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches. Experience training and fine tuning models in environments (e.g., image, language, recommendation) with accelerators. Ability to demonstrate a bias for action and apply product insights to solve immediate customer issues and unlock long-term value. About the job As a Field Solutions Architect, you will support the Rapid Innovation team in Google Public Sector. You will construct rapid prototype generative AI applications tailored to public sector customers. You will leverage generative AI technologies to develop innovative solutions and validate their efficacy. You will swiftly showcase the latest generative AI capabilities through direct collaboration with customers. In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. 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. Demonstrate how Google Cloud is differentiated by worki…