AI Security Engineer

Location: Plano, TX
Description:
AI Security Engineer
Location: Plano, TX Hybrid
Job Type: Full-time W2 Contract (No C2C)
About the Job

We are seeking a forward-thinking AI Security Engineer to help secure our AI/ML systems and infrastructure. This role is ideal for someone with a strong background in cybersecurity and a passion for artificial intelligence. You will be responsible for identifying and mitigating risks in AI models, data pipelines, and AI-powered applications, ensuring the integrity, confidentiality, and availability of our AI systems.
Responsibilities

• Design and implement security controls across AI/ML systems, including model training, inference, and data pipelines.
• Identify and mitigate threats such as model inversion, data poisoning, adversarial attacks, and prompt injection.
• Collaborate with cross-functional teams including data scientists, ML engineers, and DevOps to embed security into the AI/ML lifecycle.
• Conduct threat modeling and risk assessments for AI systems and algorithms.
• Monitor AI systems for anomalous behavior and potential misuse.
• Secure APIs and endpoints used for model access and inference.
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) in AI workflows.
• Develop and enforce AI security policies, standards, and best practices.
• Stay current with emerging threats and research in AI/ML security.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Cybersecurity, Machine Learning, or a related field.
• 3+ years of experience in cybersecurity, with at least 1 year focused on AI/ML systems.
• Strong understanding of machine learning workflows, model architectures, and data pipelines.
• Familiarity with AI-specific threats such as adversarial ML, model extraction, and data leakage.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of secure software development practices and DevSecOps principles.

Preferred Qualifications

• Experience securing LLMs and generative AI systems.
• Familiarity with AI governance, model explain-ability, and ethical AI principles.
• Hands-on experience with tools like IBM Adversarial Robustness Toolbox, Microsoft Counterfit, or similar.
• Relevant certifications such as:
  • Certified AI Security Specialist (CAISS)
  • GIAC Machine Learning Security Engineer (GMSE)
  • CISSP, OSCP, or CEH with AI/ML experience

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This job and many more are available through The Judge Group. Please apply with us today!