Sr Engineer, AI Ops

Optimum • Plano, TX

38d

About The Position

The AI Ops Engineer builds and operates the systems that enable AI-driven automation, anomaly detection, and intelligent decisioning across operational platforms. This role bridges observability, data engineering, and applied machine learning to productionize AI capabilities at scale.

Requirements

• 5+ years of experience in operations engineering, platform engineering, or ML systems
• Experience deploying ML or statistical models in production
• Strong Python skills and familiarity with ML frameworks or libraries
• Experience working with observability or operational data
• Understanding of model monitoring, drift, and lifecycle management
• Experience working within an Agile or SAFE Agile work model

Nice To Haves

• Experience with AIOps platforms or custom AIOps implementations
• Familiarity with time-series data, anomaly detection, or forecasting
• Exposure to automation frameworks and ITSM integration
• Experience operating AI systems in regulated or mission-critical environments

Responsibilities

• Design and operate AI Ops pipelines for anomaly detection, prediction, and automation
• Integrate AI models with observability, ticketing, and automation platforms
• Deploy and monitor models in production environments
• Build feedback loops for model retraining and improvement
• Define operational metrics for AI effectiveness and trust
• Partner with SRE, NOC, and platform teams on AI-assisted workflows
• Implement guardrails, explainability, and confidence scoring
• Support incident response and root cause analysis using AI techniques

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed