Scale AI - AI Applications Ops Lead, IPS
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Requirements
• 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. • Global perspective: • 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. • System architecture proficiency: • Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. • Modern AI Stack expertise: • Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. • Ownership: • Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. • Reliability: • 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. • Customer communication: • PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. • PLEASE NOTE: • At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. • We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. • We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information. • We comply with the United States Department of Labor's Pay Transparency provision. • PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. • PLEASE NOTE:
Responsibilities
• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. • Own the production outcome: • 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. • Ensure Full-Stack integrity: • Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. • Scale the feedback loop: • Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. • Navigate global compliance: • 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. • Incident command: • Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. • Bridge the gap: • 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. • Drive product evolution:
Benefits
• Full ownership of the AI application's long-term performance and reliability across international government agencies. • Responsibility for ensuring full-stack integrity from APIs to UI components in a production environment. • Development of automated systems for monitoring model performance and data drift, particularly important for geographically dispersed environments. • Management within diverse regulatory frameworks as part of global compliance responsibilities. • Incident command leadership during production issues in mission-critical settings to ensure rapid resolutions with preventative measures established post-incident. • Translation of technical performance metrics into clear insights for senior international government officials, bridging the gap between technology and policy understanding. • Active role in driving product evolution by collaborating closely with Engineering and ML teams based on field learnings to influence future use cases' architecture and decisions directly.
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