AI Security, Engineer

Location: Plano, TX

Excited to grow your career at Toyota?
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Our people make all the difference in our success.
An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company – delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best-in-class customer experiences in an innovative, collaborative environment.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as an AI Security, Engineer.
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.

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