Principal AI Ops Architect, GPS

Role overview

Scale’s Global Public Sector organization is expanding quickly and focuses on applying AI to high-priority government challenges worldwide. The team’s work includes building tailored AI products that can affect millions of people, producing high-quality training data for national LLMs, and delivering advisory and upskilling support to help public-sector organizations adopt AI more effectively.

In this role, you will shape and own the production lifecycle of full-stack AI applications. The position calls for end-to-end reliability engineering, live inference monitoring, secure data orchestration, integration of high-security software systems, and resilient cloud infrastructure for international government partners.

This is an opportunity to help build mission-critical AI capabilities for the public sector and contribute as a founding member of a growing team.

What you will do

• Take responsibility for the long-term stability and performance of AI solutions used by international government organizations.
• Oversee the full health of the platform, making sure the AI core connects smoothly with APIs, user interfaces, and other application components.
• Design automation that tracks model quality and data drift across distributed environments so the system remains dependable at scale.
• Work within a variety of global regulatory and compliance requirements throughout the technical lifecycle.
• Lead incident response for critical production issues and establish safeguards to reduce repeat failures.
• Convert technical performance signals into clear, executive-ready updates for senior government stakeholders.
• Collaborate with Engineering and ML teams so lessons from production shape future architecture and product decisions.

What you should bring

• At least 6 years in a high-impact technical role such as SRE, FDE, or MLOps, with exposure to public-sector work.
• Working knowledge of international government security requirements and the challenges involved in sovereign AI deployment.
• Strong understanding of production application architecture, including the full request path from frontend and API layers through backend systems and AI services.
• Hands-on experience with modern AI infrastructure and development tools, including Kubernetes, vector databases, agentic development, and LLM observability platforms.
• A strong ownership mindset, with a proactive approach to resolving issues before customers experience them.
• A clear appreciation of reliability and risk, especially where system failures can affect public safety or privacy.
• The ability to communicate system degradation and remediation plans clearly to senior officials.

Additional information

Candidates who are considered for this role will need to observe a 90-day waiting period before being reconsidered for the same position.

About the company

Scale builds reliable AI systems for important decisions. Its products provide the data and full-stack technology used by leading models and help enterprises and governments develop, deploy, and govern AI applications with real-world impact. The company works with organizations such as Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

Equal opportunity and accommodations

Scale describes itself as an inclusive, equal opportunity employer and states that employment decisions are made without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.

The company also says it will provide reasonable accommodations to applicants with physical or mental disabilities. If assistance is needed during the application or recruiting process due to a disability, candidates may contact [email protected]. It also refers applicants to the U.S. Department of Labor's Know Your Rights poster for more information.

Privacy and data use

The company notes that it collects, stores, and uses personal data for business purposes such as notifying applicants about relevant opportunities and sharing information with affiliates. It states that only data considered appropriate and necessary is collected, and that applicant information is handled under internal policies and programs intended to protect personal data. Additional details are available in the company privacy policy.

Compliance notice

The company states that it complies with the U.S. Department of Labor's pay transparency requirements.