Remote AI Security Engineer Jobs

What Does a AI Security Engineer Do?

AI Security Engineers specialize in protecting artificial intelligence and machine learning systems from attacks. As organizations deploy LLMs, ML models, and AI-powered applications, these specialists ensure models are robust against adversarial attacks, prompt injection, data poisoning, and other AI-specific threats. This is one of the fastest-growing roles in cybersecurity.

Key Responsibilities:

• Assess and mitigate security risks in AI/ML systems and LLM applications
• Conduct AI red teaming to identify vulnerabilities in models and prompts
• Implement defenses against prompt injection, jailbreaking, and data extraction
• Secure ML pipelines and training data from poisoning attacks
• Develop guardrails and safety measures for generative AI systems
• Evaluate third-party AI models and APIs for security risks
• Create security guidelines and best practices for AI development teams
• Monitor AI systems for anomalous behavior and potential attacks

Required Qualifications & Skills

• Strong background in both cybersecurity and machine learning
• Understanding of LLM architectures and common vulnerabilities
• Experience with prompt engineering and prompt injection techniques
• Knowledge of adversarial machine learning concepts
• Familiarity with AI frameworks (PyTorch, TensorFlow, HuggingFace)
• Programming skills in Python
• Understanding of data privacy and AI ethics considerations
• Security certifications (CISSP, CEH) plus ML experience preferred

Key Skills:

Career Path

AI Security Engineer Salary Guide

We're still collecting salary data for this role. Based on industry research, remote AI Security Engineer positions typically pay between $90,000 - $160,000 depending on experience and location.

Open AI Security Engineer Positions (3)