Pierce Professional Resources

AI Security Engineer

Pierce Professional Resources

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job 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.