Field Solutions Architect III, Generative AI, Google Public Sector

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

About the role

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.

Responsibilities

• Support the Rapid Innovation team in Google Public Sector.
• Construct rapid prototype generative AI applications tailored to public sector customers.
• Leverage generative AI technologies to develop innovative solutions and validate their efficacy.
• Swiftly showcase the latest generative AI capabilities through direct collaboration with customers.
• Closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings.
• Disseminate the lessons learned to customers and internal Google teams.

Requirements

• 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.

Benefits

• Health, dental, vision, life, disability insurance.
• Retail 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.

Pay

$183,000 - $266,000 (USD) + 20% bonus target + equity + benefits

Schedule

Remote work is available from Reston, VA, USA; Washington D.C., DC, USA; New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Sunnyvale, CA, USA.

Qualifications

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.

Application Information

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.