Google

Field Solutions Architect III, Generative AI, Google Public Sector

Google
US Boulder, CO, US
Onsite 2026-06-30
Announced salary
$183,000 - $266,000
Estimated net pay
$10,753 - $15,227
/month · 29% withheld
after tax & contributions · Single, no dependents

Job description

Must 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. * Expe

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