Staff Applied AI Engineer

About the role

The Staff Applied AI Engineer will define standards for responsible AI, model governance, and production MLOps within the Global Public Sector team. This role involves architecting AI systems to prevent systemic failure, acting as a senior technical partner to client leadership, and coaching senior engineers to deliver safer AI solutions.

Responsibilities

• Define standards for responsible AI, model governance, and production MLOps that get adopted broadly across the Global Public Sector team
• Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt
• Architect AI systems designed to prevent systemic failure, and lead the resolution of the most severe incidents tied to model safety or data integrity
• Build reusable AI capabilities, such as production-ready agent implementations, fine-tuned models, or evaluation methodologies
• Advise on which new AI developments are worth adopting and help set the technical roadmap for the domain
• Act as the senior technical partner to client leadership on AI strategy
• Coach Senior Applied AI Engineers, delegate ownership of technical domains, and build systems and practices that enable multiple teams to deliver safer AI
• Contribute to recruiting and representing Scale's AI work externally

Required skills

• AI/ML systems
• MLOps
• Model governance
• AI deployment
• Hallucination mitigation
• System architecture

About the Company

Scale's mission is to develop reliable AI systems for the world's most important decisions. The company provides high-quality data and full-stack technologies that power leading models, helping enterprises and governments build, deploy, and oversee AI applications.