GenAI Field Solutions Architect II | Public Sector

Google; Washington (District of Columbia); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Public Sector is seeking a Field Solutions Architect to support the Rapid Innovation team. You will craft rapid prototype genAI applications for government and education customers, leveraging generative AI to validate efficacy and showcase capabilities.

You will collaborate with the Product team to remove obstacles and shape future offerings, sharing lessons with customers and internal Google teams, with compensation reflecting US market norms.

Qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 6 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, retrieval-augmented generation (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.

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 working with customers on application prototypes; demonstrating generative AI features; prompting and tuning models; and optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in generative AI applications.
• Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams. Work with peers to include the full cloud stack into overall architecture.
• Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.

Skills

Python

Machine learning

Prompt engineering

RAG

Electronic security

Education

Bachelor's degree in STEM

Tools

Cloud platforms

Job description

Google Public Sector is seeking a Field Solutions Architect to support the Rapid Innovation team. You will craft rapid prototype genAI applications for government and education customers, leveraging generative AI to validate efficacy and showcase capabilities.

You will collaborate with the Product team to remove obstacles and shape future offerings, sharing lessons with customers and internal Google teams, with compensation reflecting US market norms.