Field Solutions Architect III, Generative AI, Google Public Sector

About the role

Supports the Rapid Innovation team in Google Public Sector. Constructs rapid prototype generative AI applications tailored to public sector customers. Leverages generative AI technologies to develop innovative solutions and validate their efficacy. Collaborates with customers on application prototypes, demonstrates generative AI features, prompts and tunes models, and optimizes model performance.

Responsibilities

• Understand customer business processes and objectives.
• Design and build end-to-end genAI-driven solutions spanning AI, data, and infrastructure.
• Demonstrate Google Cloud’s differentiation by working with customers on application prototypes; showcasing generative AI features; prompting and tuning models; and optimizing model performance.
• Troubleshoot and resolve issues in generative AI applications.
• Create repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams.
• Incorporate the full cloud stack into overall architecture.
• Collaborate cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Cross-regional field enablement with leadership and work closely with product and partner organizations on external enablement.
• Travel as needed.

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.

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.

Skills

• Strong understanding of generative AI technologies and their applications.
• Experience with cloud platforms and infrastructure management.
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration abilities.
• Ability to work independently and as part of a team.

Benefits

• 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.

Pay

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

Schedule

Full-time

Location

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