AI Engineer – Security

• Build and maintain AI/ML asset discovery and model inventory solutions.
• Implement security controls for AI/ML pipelines and LLM deployments.
• Develop solutions for shadow AI detection and AI risk monitoring.
• Integrate AI threat signals into SIEM/SOAR platforms.
• Perform AI red teaming, prompt injection testing, and adversarial testing.
• Secure third-party and internally developed AI services.
• Implement CI/CD security controls and secure-by-design practices.
• Develop runbooks, standards, and documentation for AI security operations.
• Collaborate with Data Science, DevOps, Cloud, and Application teams.

Required Skills

• 10+ years of Security Engineering, Cloud Engineering, or ML Engineering experience.
• Strong Python programming skills.
• Experience with LangChain, Hugging Face, TensorFlow, or PyTorch.
• MLOps / LLMOps Security.
• Azure, AWS, or GCP.
• IAM, Secrets Management, and Cloud Security Controls.
• CI/CD Pipelines and Infrastructure as Code (IaC).
• AI Security Threat Modeling.
• Prompt Injection, Model Inversion, Data Poisoning, Data Leakage Prevention.
• OWASP LLM Top 10 knowledge.

Preferred Skills

• Splunk, Microsoft Sentinel, or other SIEM/SOAR platforms.
• Security+ , GCIH, OSCP, AWS Security, or Azure Security certifications.
• Retail or PCI-regulated environment experience