Cyber + AI Intern

Summary: Rackspace Technology is focused on building and improving security operations through AI and automation. The Cyber + AI Intern will work on automating security tasks, prototyping AI-driven use cases, and supporting security event analysis. Responsibilities: - Build tools and scripts to automate security tasks across engineering and SOC workflows - Prototype AI-driven use cases (alert triage, enrichment, investigation support, automation) - Support security event analysis, including triaging alerts and investigating patterns - Identify opportunities to reduce noise, improve detection quality, and streamline operations - Work with engineers to integrate AI into existing security systems and processes - Contribute to improving SOC playbooks, workflows, and standard operating procedures - Assist with designing scalable, AI-enabled security solutions across the environment Required Qualifications: - A Senior or Grad Student pursuing a bachelors or masters degree in Cybersecurity, Computer Science, AI/ML, or similar - Comfortable writing code (Python preferred) - Basic understanding of security fundamentals (networking, endpoints, identity) - Familiarity with logs, alerts, or monitoring concepts - Interest in applying AI to real-world problems, not just theory - Strong problem-solving mindset and ability to turn ideas into working solutions - Availability to work Monday through Friday between the hours of 8am and 5pm CDT - Hybrid schedule, 2 days a week in office at our Global HQ at 281 N/Redland Road Preferred Qualifications: - Experience with APIs, scripting, or automation (Python, PowerShell, etc.) - Exposure to LLMs, agents, or AI tooling (OpenAI, Anthropic, etc.) - Familiarity with SIEM or security tools (Splunk, Sentinel, EDR, etc.) - Exposure to cloud environments (AWS, Azure, GCP) - Experience with labs, CTFs, or hands-on security projects Required Skills: Python, Security fundamentals, Networking, Endpoints, Identity, Logs, Alerts, Monitoring, APIs, Scripting, Automation, SIEM, Security tools, Cloud environments