✦ Luna Orbit — Cybersecurity

AI Information Security Engineer

at Southern New Hampshire University

📍 Remote, US Remote 💰 $94K – $150K USD / year Posted April 04, 2026
Salary $94K – $150K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or related field, or equivalent professional experience.
Category Cybersecurity

AI Information Security Engineer secures SNHU’s AI systems, models, and agent workloads from development through production by applying threat modeling, AI security frameworks, and automated testing within CI/CD pipelines.

  • Document AI components and data flows
  • Identify attack surfaces and threat modeling
  • Translate threats into security requirements
  • Implement AI security controls per frameworks
  • Build automated security testing for AI in CI/CD
  • Instrument logging and monitoring; dashboards

Hands-on security engineering for AI/ML systems; implements controls across data ingestion, training, inference, and deployment; ensures privacy and monitoring of AI systems; integrates with AI engineering teams.

The ideal candidate is a senior AI security engineer with 5+ years in IT/cybersecurity, with 2+ years securing AI/ML workloads; strong threat modeling and implementation of AI security controls; able to design guardrails and monitor AI systems in production.

5+ years of experience in IT or cybersecuritywith engineering responsibilities2+ years of experience securing AI/ML systems or adjacent domains with demonstrated application to AI workloadsExperience with authenticationauthorizationloggingand monitoringExperience with AI/ML concepts such as modelstraining datainference pipelinesembeddingsand agent frameworksExperience modeling data flowstrust boundariesand attack paths in AI systemsExperience mitigating threats such as prompt injectionmodel poisoningdata leakageExperience implementing controls such as input validationoutput filteringcontext isolationand abuse detection
Experience with OWASP LLM Top 10 and NIST AI RMF (preferred)Experience building automated security testing for AI systemsExperience with RAG pipelinesFamiliarity with governance and AI policy
CI/CD pipelinesLogging and monitoring platformsIAM systemsKey management systemsRAG pipelines
Threat modelingOWASP LLM Top 10NIST AI RMFCI/CD security testing (SASTDASTSCA)AI/ML platform securityIAMdata protection and privacy (PII redaction)runtime safeguardslogging/monitoringencryptionagent frameworks
Threat modelingOWASP LLM Top 10NIST AI RMFCI/CD security testing (SASTDASTSCA)AI/ML platform securityModel governanceIdentity and access management (IAM)Data protection and privacy (PII redaction)Runtime safeguardsSecurity controls for AI pipelinesEmbeddingspromptscontext handlingLoggingmetricstracesAbuse detectionRAG pipelines
CommunicationCollaborationProblem-solvingAttention to detailAdaptability

Required

CISSPCCSP

Preferred

AWS Certified Security - SpecialtyAzure Security EngineerGoogle Cloud Certified - Professional Cloud Security Engineer
Industry Education
Job Function Design and implement secure AI systems and governance across the AI/ML lifecycle
Role Subtype Security Engineer - AI
Tech Domains IAM, Data protection, Encryption, NIST AI RMF, OWASP LLM Top 10, AI/ML platforms, CI/CD pipelines, Kubernetes
ai information security engineerai securityml securityprompt injectionmodel poisoningdata leakagellm top 10nist ai rmfci/cd securitysastdastscaiamencryptionprivacypii redactionrag pipelinesembedded promptsembeddingsmodel governanceai governancesecure aithreat modelingai security engineerAI/ML securityNIST AI RMFOWASP LLM Top 10IAMdata protectionPII redactionruntime safeguardsCI/CD security

Less than 5 years IT/cybersecurity experience, No experience with AI/ML security, Lack of threat modeling experience

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