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AI Security Engineer

AI Security Engineer

IVID TEK INCPlano, Texas, United States
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Client : Toyota Financial Services

Job : AI Security, Engineer

Duration : 12 Months

Location : Plano , ,TX (Hybrid)

Pay : $90-95 / hr on w2

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

What you’ll be doing :

  • Design and implement security controls for 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 data scientists, ML engineers, and DevOps teams to integrate 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.

Requirements : What You Bring :

  • 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.
  • Experience with Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of secure software development practices and DevSecOps principles.

    • Added bonus if you have :

  • Experience with securing LLMs and generative AI systems.
  • Familiarity with AI governance, model explainability, and ethical AI principles.
  • Hands-on experience with tools like IBM Adversarial Robustness Toolbox, Microsoft Counterfit, or similar.
  • 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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    Ai Engineer • Plano, Texas, United States