GenAI Engineering Intern (Cybersecurity)

TL;DR

GenAI Engineering Intern (Cybersecurity): Developing proof-of-concept GenAI solutions to automate internal threat intelligence workflows with an accent on research, stakeholder collaboration, and rapid prototyping. Focus on building tools from 0 to 1 and supporting productization efforts alongside seasoned engineers and subject matter experts.

Location: Must be based in the USA (DoD SkillBridge program eligibility required).

Company

CrowdStrike is a global leader in cybersecurity, providing an AI-native platform to stop breaches and protect modern organizations.

What you will do

• Develop proof-of-concept GenAI solutions to automate internal threat intelligence workflows.
• Collaborate directly with subject matter experts, engineers, and data scientists throughout the development lifecycle.
• Communicate technical capabilities and solutions to stakeholders to support their specific operational needs.
• Report progress on research and development projects directly to the AI Strategy manager.
• Support product engineers in the transition of developed tools into production environments.

Requirements

• Eligibility restricted to U.S. Armed Forces members separating honorably with >180 days of continuous Active Duty.
• Must be within the final 180 days of Active-Duty service to participate in the SkillBridge program.
• University degree in Computer Science, Cyber Security, or equivalent hands-on experience.
• Proficiency in programming and scripting, specifically Python.
• Strong problem-solving skills and ability to communicate complex technical concepts clearly.

Nice to have

• Experience building cyber security or threat intelligence tools.
• Background in intelligence or cyber security domains.

Culture & Benefits

• Full-time training internship (40-hour work week) under the DoD SkillBridge program.
• Opportunity to work with a mission-driven team on large-scale distributed systems.
• Exposure to cutting-edge AI-native cybersecurity technologies.
• Collaborative environment focused on innovation and responsible AI adoption.