ServiceNow

ServiceNow Security Organization (SSO) - AI for Security Operations Engineering Intern

ServiceNow AI Security Operations Engineering Intern in San Diego. Design AIOps pipelines, automate incident management using AI/ML. Requires Master's CS, AI experience, cloud platforms, MLOps tools. $50.02/hr, equity, benefits.

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The Mothership
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Entry Level
ServiceNow Role Type:
ServiceNow Modules:
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IT Service Management
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Incident Management
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Integration Hub
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Security Operations
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Service Portal
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Workflow Automation
ServiceNow Certifications (nice to have):

Job description

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Posted on:
 
September 25, 2025

Join ServiceNow as an AI for Security Operations Engineering Intern to work alongside skilled Platform Security Innovation Team on AIOps capabilities and contribute to projects that elevate user experiences and workflow efficiency.

Requirements

  • Current enrollment in a full-time Master's program in Computer Science or a related discipline at an accredited university.
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
  • Design and develop AIOps pipelines to collect, process, and analyze data from diverse IT systems (logs, metrics, traces, events).
  • Automate incident management and remediation processes using AI/ML and workflow automation tools.
  • Collaborate with internal teams to understand operational pain points and deliver AI-driven solutions.
  • Experience in using AI productivity tools such as Cursor, Windsurf, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure and associated ML services.
  • Familiarity with MLOps tools like MLflow, Kubeflow, and Weights & Biases.
  • Knowledgeable about containerization and orchestration technologies.
  • Understanding of relational databases such as MySQL or Oracle.
  • Servicenow platform knowledge is a plus.

Benefits

  • Base pay of $50.02/hr
  • Equity (when applicable)
  • Variable/incentive compensation
  • Benefits
  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP
  • Matching donations
  • Flexible time away plan
  • Family leave programs

Requirements Summary

Master's degree in Computer Science or related discipline, 1-6 years of experience in AI integration and development, and experience with cloud platforms, MLOps tools, and containerization technologies