Principal AI Ops Architect, IPS

Overview

• You will:
• 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.
• Ideally, you have:
• Experience:
• 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective:
• Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency:
• 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.
• Modern AI Stack expertise:
• 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.