Generative AI Field Solutions Architect III (Public Sector)

Google; Boulder (CO); On-site; USD 183,000 - 265,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

401(k) with company match

Paid time off: 20 days/year

Sick time: 40 hours/year (Seattle 69)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays per year

Job summary

Google Public Sector is seeking a Field Solutions Architect to support rapid prototype generative AI applications for government and education customers.

You will build genAI-driven solutions spanning AI, data, and infrastructure, and demonstrate capabilities through customer collaborations. This role collaborates with product teams to shape offerings and share lessons learned across Google and customer teams.

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.
• Experience with applied AI and foundation models (prompt engineering, fine-tuning, RAG).
• Experience deploying or managing solutions on a cloud platform.
• Active or ability to obtain Top Secret/SCI clearance.

Responsibilities

• Be a trusted advisor to customers by understanding business processes and objectives; design end-to-end genAI solutions.
• Showcase Google Cloud capabilities through prototypes; optimize model performance and troubleshoot.
• Create repeatable technical assets to enable customers and internal teams.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML.
• Coordinate regional enablement; travel as needed.

Skills

Python

Machine learning

Java

C++

Go

Foundation models

Education

Bachelor's degree in STEM

Master's degree in CS/Engineering

Tools

Google Cloud Platform

Job description

Google Public Sector is seeking a Field Solutions Architect to support rapid prototype generative AI applications for government and education customers.

You will build genAI-driven solutions spanning AI, data, and infrastructure, and demonstrate capabilities through customer collaborations. This role collaborates with product teams to shape offerings and share lessons learned across Google and customer teams.