Remote ServiceNow AI Ops Support Engineer

๐Ÿข Global Channel Management, Inc. ยท all Global Channel Management, Inc. jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-07-13 ยท via Himalayas
๐Ÿท ServiceNow-Engineer,AIOps-Support-Engineer,ITOM-Specialist,IT-Operations-Engineer,Support-Engineer,ServiceNow-AI-Engineer,ServiceNow-Support-Analyst,AI-Support-Engineer,Senior-ServiceNow-Engineer,Remote-Senior-AI-Engineer
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Remote ServiceNow AI Ops Support Engineer needs 8+ years of experience working with the ServiceNow platform, especially in ITOM / AIOps modules

Remote ServiceNow AI Ops Support Engineer requires:

Hands-on experience with Event Management, Service Mapping, CMDB, and Discovery

Familiarity with AIOps concepts anomaly detection, correlation, and noise reduction

Experience integrating ServiceNow with monitoring tools (e.g., Splunk, Datadog, Dynatrace, SolarWinds, AppDynamics)

Solid understanding of ITSM processes Incident, Change, Problem Management

Scripting experience (JavaScript, PowerShell, or Python) for automation and workflows

Strong troubleshooting and problem-solving skills

Effective communication and documentation skills
"FSM - ServiceNow
Strong Development Experience.

Remote ServiceNow AI Ops Support Engineer duties:

Provide operational support for AIOps capabilities in ServiceNow (Event Management, Predictive AIOps, Service Mapping, and CMDB).

Monitor and troubleshoot data ingestion pipelines from monitoring tools (e.g., Splunk, Dynatrace, AppDynamics, Datadog).

Maintain and enhance correlation rules, anomaly detection policies, and alert suppression logic.

Work with ITSM teams to ensure incidents and alerts are generated and routed appropriately.

Perform root cause analysis (RCA) and contribute to continuous improvement of noise reduction and RCA capabilities.

Collaborate with platform engineers and developers to configure and support automation workflows.

Maintain documentation, dashboards, and runbooks for operational visibility.

Support upgrades, testing, and patching of AIOps-related applications and integrations.

Partner with cross-functional teams to improve service health insights and predictive capabilities.

Originally posted on Himalayas

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