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Principal AI Ops Architect

Qatar; United Kingdom, Doha · Job Posted March 20, 2026
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Job Description

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens; Generating high-quality training data for national LLMs; Upskilling and advisory services to spread the impact of AI. As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

Job Responsibility

  • Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies
  • Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment
  • Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability
  • Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks
  • Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again
  • Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials
  • Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases

Requirements

  • 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector
  • Familiarity with international government security standards and the complexities of deploying sovereign AI
  • Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core
  • Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools
  • Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them
  • Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy
  • Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it
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