Senior AI Ops Engineer

Responsibilities

• Lead AIOps platform integration efforts across Network Engineering, ServiceNow, and SolarWinds teams to establish unified observability and telemetry capabilities.
• Architect and maintain Splunk AIOps and ITSI solutions across classified and unclassified environments, delivering real-time situational awareness, event correlation, and automated incident remediation through ServiceNow integration.
• Develop and deploy advanced analytics and machine learning models using Splunk MLTK to detect anomalies, identify cyber threats, predict infrastructure issues, and reduce alert fatigue.
• Engineer secure telemetry ingestion and correlation pipelines from enterprise infrastructure, cross-domain solutions, and tactical edge systems to provide a comprehensive view of operational health.
• Support defensive cyber operations by integrating AIOps insights into security workflows, while ensuring compliance with DoD STIGs, IL5/IL6 requirements, and maintaining technical and architectural documentation.

Requirements

• Active TS/SCI security clearance
• Candidates must possess DoD IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP)
• Bachelor's degree and 7+ years of Splunk Enterprise experience, including architecture, cluster administration, and advanced SPL development.
• 3+ years of experience implementing AIOps workflows and integrating Splunk with ServiceNow or other enterprise ITSM platforms.
• Experience building, tuning, and deploying machine learning models using Splunk MLTK.
• Strong scripting and automation skills, including Python, API integrations, custom search commands, and automated remediation solutions.
• Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.
• Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.
• Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).