AI Operations Engineer

• Build and evolve AI-powered operational tools and agentic platform capabilities for specific domains, automating and optimizing SRE operations.
• Develop agentic workflows that apply AI and machine learning to risk and incident management, anomaly detection, root cause analysis, and problem-solving.
• Design custom monitoring solutions for AI workloads and deployment architectures, integrating with existing monitoring frameworks and APIs.
• Combine monitoring signals with machine learning and statistical analysis to detect anomalies, identify threats, and surface infrastructure problems in real time.
• Implement automated testing, integration, and deployment for AI models and applications; use model versioning and pipeline orchestration to improve reliability.
• Partner with data scientists, software engineers, and infrastructure and operations teams to integrate solutions into existing systems and ensure reliability, scalability, and performance.
• Conceptualize, develop, deploy, and continually refine machine learning models and AI agents for operational use cases.
• Automate routine work, measure and report on KPI gains, incident reduction, and system performance, and continuously improve AI Ops tools and processes.

Minimum Qualifications

• Bachelor’s degree and 7+ years of related experience, or a master’s degree and 4+ years of related experience, or a PhD and 1+ year of related experience.
• Strong software engineering experience building and delivering operational software tools or platform capabilities.

Preferred Qualifications

• Working experience building operational tooling.
• Working experience developing monitoring solutions tailored to anomaly detection.
• Working experience with AI models and AI coding tools.
  • Working experience building AI agents or agentic systems.