Information Technology (AI) - Internship
About The Position
The Information Technology Internship will complete an AI-Assisted Service Desk Triage & Noise Reduction proof-of-concept project focused on LogicMonitor alerts that generate incidents or work items in the IT Service Management (ITSM) system. Analyze historical LogicMonitor-generated alerts and the corresponding ITSM tickets to identify common alert types, repeated failure patterns and alerts that frequently resolve without action or result in duplicate tickets. Using data analysis, design and test AI prompts that can summarize alert payloads, classify alerts, and suggest appropriate runbooks and knowledge articles Responsible for alert clarity, reduce time spent interpreting alerts and provide data driven recommendations for future alert tuning or documentation improvements
Requirements
- Current full-time student pursuing a degree in Information Systems, Management Information Systems (MIS), Computer Science, Data Analytics, Cybersecurity or Information Technology
- Foundational understanding of infrastructure monitoring and alerting concepts
- AI-assisted text analysis and summarization
- Prompt engineering for operations use cases
- Analysis of real-world (sanitized) monitoring alerts and ITSM tickets
- Understanding of incident triage, escalation, and documentation standards
- Technical writing and runbook/knowledge alignment
- Exposure to governance and control considerations in a regulated banking environment
- Professional collaboration with Service Desk and Infrastructure teams
- Commit to 40 hours per week (Monday - Friday) for a 10 week summer internship
- Must have accommodations in the Dallas (North Texas) area
Nice To Haves
- Foundational coursework or efforts taken in pursuit of systems monitoring, infrastructure, automation or applied artificial intelligence
Responsibilities
- Analyze historical LogicMonitor-generated alerts and the corresponding ITSM tickets to identify common alert types, repeated failure patterns and alerts that frequently resolve without action or result in duplicate tickets.
- Using data analysis, design and test AI prompts that can summarize alert payloads, classify alerts, and suggest appropriate runbooks and knowledge articles
- Responsible for alert clarity, reduce time spent interpreting alerts and provide data driven recommendations for future alert tuning or documentation improvements
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What This Job Offers
Career Level
Intern
