AI Cyber Principal

TL;DR

AI Cyber Principal (AI security): Securing internal artificial intelligence models, LLM initiatives, and AI systems with an accent on threat protection, model governance, and automated defense capabilities. Focus on designing controls for ML pipelines, simulating AI-assisted attacks, and embedding security by design across cloud, data, and AI environments.

Location: Cambridge, Massachusetts, United States. Active Top Secret clearance with SCI eligibility is required, and selected applicants must obtain and maintain a US government security clearance.

Salary: $100,000–$275,000 base salary per year.

Company

hirify.global is an independent nonprofit research and development company delivering solutions for national security, space exploration, biomedical engineering, and other complex challenges.

What you will do

• Lead cross-functional initiatives using AI and LLMs for incident response, alert triage, threat hunting, and automated remediation.
• Design security controls for AI/ML environments, data platforms, containers, and microservices.
• Protect AI pipelines against model theft, data poisoning, adversarial attacks, and other emerging threats.
• Develop responsible AI policies, governance frameworks, compliance measures, and security metrics across the AI lifecycle.
• Simulate AI-assisted attacks and architect predictive defensive measures.
• Partner with DevOps, data engineering, and AI/ML teams to embed security by design and align with federal AI security expectations.

Requirements

• Active Top Secret clearance with SCI eligibility is required.
• Bachelor’s degree in computer science, cybersecurity, data science, or a related field; a master’s degree is preferred.
• At least 7 years of experience in cybersecurity, cloud security, or security engineering.
• Hands-on experience securing machine learning pipelines, data platforms, and containerized or microservices architectures.
• Strong understanding of LLMs, Retrieval-Augmented Generation, agentic AI, and AI risk mitigation and monitoring frameworks.
• Proficiency in Python and infrastructure-as-code tools such as Terraform, with experience managing teams and working with executive stakeholders.

Culture & Benefits

• Collaborative, multidisciplinary research and development environment.
• Workplace flexibility programs supporting work-life balance.
• Employee clubs, including photography and yoga.
• Health and finance workshops, off-site social events, and discounts to local museums and cultural activities.