ServiceNow Security Organization - AI for Security Operations Engineering Intern

Job Description

The ServiceNow Security Organization delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact.

As an AI for Security Operations Engineering Intern, you will work alongside skilled Platform Security Innovation Team on AIOps capabilities to complete routine system health checks. This internship offers hands-on experience in developing operational AI/ML solutions, cultivating innovative ideas, and contributing to projects that elevate user experiences and workflow efficiency. You will thrive in a dynamic and collaborative environment, laying a foundation for career growth.

What you get to do in this role: 

• Represent SSO in Security Incidents, Tasks, Issues, questions & Calls related to Security & Privacy 
• Customer Outreach Communication on Security & escalation handling 
• Support Penetration Test initialization & follow-up / escalations 
• Coordination & support for security related PRBs 
• End of Life & Patching Program
• Support Facilitate the successful workflow/triage of security related incidents/tasks by interacting with the various security teams and other ServiceNow teams as needed. 
• Process Acceptable Use Policy Violations 
• Clone Library support 
• Training, support & enablement to Tech Support / SAM Teams 

Qualifications

To be successful in this role you have: 

• Current enrollment in a full-time Master's program in Computer Science or a related discipline at an accredited university.
  • Graduating December 2026, or later 
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
• Data Science, Engineering, Analytics, Computer Science, Information Systems with applied knowledge in automations, Applied Sciences, or a related field.
• 1 – 6 years of related experience (not to exceed 6 years of experience)
• Graduating Spring/Summer 2027 preferred
• 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 Al 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

For positions in this location, we offer a base pay of $50.02/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.