Information Systems Security Engineer (AI)

TL;DR

Information Systems Security Engineer (AI): Designing, implementing, and automating secure cloud and edge infrastructure for Department of War systems with an accent on RMF, CMMC compliance, and Zero Trust principles. Focus on securing AI-enabled applications, LLMs, and CI/CD pipelines within Azure Government environments.

Location: Must be based in the United States (U.S. Citizen required)

Company

hirify.global provides immersive software training solutions and digital infrastructure for the Department of Defense to modernize training and improve operational readiness.

What you will do

• Harden and maintain secure cloud and edge infrastructure supporting DoW workloads.
• Partner with DevSecOps to build secure CI/CD pipelines using Infrastructure as Code.
• Implement Zero Trust principles including RBAC, network segmentation, and least privilege.
• Automate security validation, compliance monitoring, and vulnerability remediation using scripting tools.
• Design security controls for AI-enabled applications, LLMs, and RAG architectures.
• Support ATO packages, Cybersecurity Impact Analyses, and continuous monitoring efforts.

Requirements

• U.S. Citizen required
• 5+ years of experience in cybersecurity, cloud engineering, or DevSecOps.
• Experience with Azure or Azure Government, Kubernetes, and Linux administration.
• Proven experience implementing RMF, CMMC, STIGs, or similar government frameworks.
• Strong proficiency in scripting with PowerShell, Python, or Bash.
• Ability to translate complex security requirements into technical implementations.

Nice to have

• Experience supporting DoW IL4/IL5 environments and ATO efforts.
• Knowledge of NIST AI RMF and OWASP Top 10 for LLM Applications.
• Relevant certifications such as Security+, CASP+, CKA, or Azure Security Engineer Associate.

Culture & Benefits

• Opportunity to work on mission-critical defense training platforms.
• Focus on innovation in AI security and cloud-native architectures.
• Collaborative environment spanning software engineering, cybersecurity, and AI teams.
• Commitment to diversity and inclusive professional growth.