AI Security Engineer
Pierce Professional Resources
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudPython
About the role
- Ensure advanced AI systems are designed and operated with the highest levels of security, compliance, and reliability.
- Define threat models for AI workflows, including data misuse, privilege escalation, and model abuse.
- Implement guardrails and access controls (DLP, secret management, RBAC/ABAC) for AI pipelines.
- Enforce bounded autonomy and human-in-the-loop approvals for critical agent actions.
- Build monitoring systems to detect model drift, hallucinations, and anomalous behavior.
- Integrate AI decision-logging into enterprise SIEM platforms for traceability and compliance.
- Lead red-team adversarial testing to expose vulnerabilities and strengthen resilience.
- Develop and maintain incident response runbooks coordinating engineering and security teams.
Requirements
- Strong background in application security, cloud security, or security engineering with exposure to AI/ML systems.
- Hands-on experience with threat modeling and building secure architectures.
- Familiarity with data loss prevention (DLP), secrets management, RBAC/ABAC, and access governance.
- Knowledge of ML/AI system vulnerabilities, including prompt injection, data poisoning, and model drift.
- Experience integrating logging and monitoring systems with SIEM/SOAR platforms.
- Skilled in running red-team exercises or adversarial testing.
- Proficiency with Python or similar scripting languages for automation and security tooling.
- Bonus: Prior experience with AI guardrails, LLMOps, or responsible AI frameworks.