AI Engineer - Security

Required Qualifications
3+ years in security engineering, cloud engineering, or ML engineering, with direct hands-on exposure to AI/ML or LLM-based systems. Proficiency in Python and experience with ML/LLM frameworks (e.g., LangChain, Hugging Face, TensorFlow/PyTorch) or AI security tooling (e.g., guardrail frameworks, model scanning tools). Working knowledge of cloud platforms (Azure and/or AWS/Google Cloud Platform) and cloud-native security controls (IAM, network segmentation, key/secrets management).

Familiarity with AI-specific threat models: prompt injection, model inversion, data poisoning, insecure output handling, excessive agency (OWASP Top 10 for LLM Applications). Experience with CI/CD pipelines, infrastructure-as-code, and integrating security tooling into automated pipelines.

Preferred Qualifications
Experience with SIEM/SOAR platforms (Splunk, Sentinel, etc.) and scripting integrations.
Security certifications (Security+, GCIH, OSCP) or cloud certifications (AWS/Azure Security). Prior retail or PCI-regulated environment experience.