Gain hands-on experience at the intersection of cloud security, AI platform engineering, and federal compliance.
Work alongside experienced engineers, data scientists, and cybersecurity professionals to support the design, deployment, and hardening of AI infrastructure.
Directly support high-priority strategic AI initiatives, giving exposure to real-world challenges in operationalizing AI at enterprise scale.
Requirements
Currently pursuing a Bachelor's or Master's degree in Cybersecurity, Computer Science, Information Systems, Computer Engineering, or a closely related technical field.
Candidates should have completed their junior year (or equivalent) by the start of the internship.
Foundational knowledge of cloud computing concepts and at least one major cloud platform (AWS, Azure, or GCP).
Familiarity with containerization and orchestration concepts (e.g., Docker, Kubernetes).
Exposure to federal compliance frameworks such as NIST SP 800-53, FedRAMP, or FISMA through coursework, projects, or prior experience.
Strong analytical and problem-solving skills with the ability to work both independently and collaboratively in a team environment.
Excellent written and verbal communication skills, with the ability to document technical processes clearly.