[Hiring] AI Information Security Engineer @Southern New Hampshire University

Role Description

The AI Security Engineer will report to the Director of Information Security Engineering. You will be hands-on security engineering role responsible for securing AI systems, models, and agent-based workloads throughout development. You will focus on practical threat modeling, control implementation, testing, and monitoring to protect AI training data, inference pipelines, agents, tools, and generated outputs from misuse, compromise, or unintended harm. You will partner with AI engineering, platform, and security teams to ensure AI systems are secure by design, resilient to misuse, and observable in production at scale.

You will work 100% remotely from any of our approved states.

What You'll Do:

• Document AI system components and data flows, including prompts, context, embeddings, training data, model artifacts, outputs, and agent tool interactions.
• In collaboration with the AI team, identify attack surfaces, trust boundaries, and privilege transitions within AI pipelines and agent workflows and perform structured threat modeling for AI systems during design, development, and change cycles.
• In collaboration with the AI team, translate identified threats into concrete, relevant security requirements and engineering tasks.
• Implement technical controls informed by established AI security frameworks (e.g., OWASP LLM Top 10, NIST AI RMF) according to compliance requirements and AI governance guidance.
• Design, build, and maintain automated security testing for AI systems within CI/CD pipelines, supporting testing for prompt injection, unsafe model behavior, misconfigured access, data exposure, and agent misuse.
• Implement technical guardrails to protect sensitive data used by AI systems, including retrieval of augmented generation (RAG) pipelines and external data sources.
• In collaboration with the AI Team, design and operate controls for sensitive data identification, minimization, redaction, and leakage prevention—addressing PII and other protected data in prompts, context, embeddings, and outputs.
• Design, implement, and maintain security controls across the full AI/ML lifecycle—including data ingestion, training, evaluation, deployment, inference, and CI/CD.
• Implement and operate runtime safeguards for AI services and agent-based systems, including input and output controls, context isolation, tool use restrictions, and abuse prevention mechanisms.
• Design security controls that balance safety, system performance, reliability, and developer usability in production of AI services.
• Implement and operate secure identity, secrets, and access control patterns for AI services, agents, and integrations.
• Instrument AI systems to produce actionable logging, metrics, and traces; build dashboards and alerts for detecting prompt manipulation, anomalous usage, and unexpected behavior.
• Embed with AI engineering and platform teams to design and maintain technical security controls; develop reusable security components and patterns; and communicate AI security requirements and remediation outcomes.

Qualifications

• 5+ years of experience in IT or cybersecurity, with engineering responsibilities (i.e. IT Security or Application Development).
• 2+ years of experience securing AI/ML systems or adjacent domains with demonstrated application to AI workloads.
• Experience with security engineering principles, including authentication, authorization, logging, and monitoring.
• Experience with AI/ML concepts such as models, training data, inference pipelines, embeddings, and agent frameworks.
• Experience modeling data flows, trust boundaries, and attack paths in AI systems.
• Experience mitigating threats such as prompt injection, model poisoning, model theft, and data leakage.
• Experience implementing controls such as input validation, output filtering, context isolation, and abuse detection.

Compensation

The annual pay range for this position is $94,130.00 - $150,634.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $104,012.00 - $140,723.00.

Benefits

• High-quality, low-deductible medical insurance.
• Low to no-cost dental and vision plans.
• 5 weeks of paid time off (plus almost a dozen paid holidays).
• Employer-funded retirement.
• Free tuition program.
• Parental leave.
• Mental health and wellbeing resources.