AI Security, Engineer

JOB ID: TYA1431480
Job Title: AI Security, Engineer
Duration: 12 M+
Location: Plano, TX
Company Background:
Our client, a major employer in the area, is looking for an I Security, Engineer to be part of its team in its North American operations.
Description:

• Client 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.

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.

dded 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