AI Security Engineer

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September 10

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Pierce Professional Resources

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Enterprise • Recruitment • Consulting

Pierce Professional Resources is a company specializing in technical and workforce solutions aimed at helping businesses evolve. They offer a range of services including technical staffing, automation and AI, cloud solutions, data modernization, digital transformation, and UI/UX consulting. Additionally, they provide agile leadership coaching, PMO services, and assist with transactional mergers and acquisitions. With over 30 years of experience, Pierce Professional Resources emphasizes delivering exceptional technical solutions and personalized services for their clients, aiming to optimize operations and drive innovation. They focus on building partnerships by deeply understanding client needs and providing customized solutions to achieve success.

11 - 50 employees

Founded 2003

🏢 Enterprise

🎯 Recruiter

📋 Description

• 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.