Security Engineering Vulnerability Protection Engineer

Job Title: Security Engineering Vulnerability Protection Engineer
Duration: 6+ Months Contract
Location: Remote, US
Job Summary

We are seeking an experienced Security Engineering Vulnerability Protection Engineer with strong expertise in AI/ML security and HiddenLayer. The engineer will be responsible for deploying and administering the HiddenLayer platform and protecting AI/ML models and LLM-based applications against emerging threats such as prompt injection, model theft, data poisoning, and adversarial attacks.

Key Responsibilities

• Deploy, configure, and administer the HiddenLayer AI security platform.

• Integrate HiddenLayer with SIEM, SOAR, EDR, vulnerability management, and cloud security platforms.

• Develop AI security detection rules, dashboards, monitoring, and executive reporting.

• Protect AI/ML workloads against prompt injection, model extraction, data poisoning, model evasion, membership inference, and supply-chain attacks.

• Perform AI threat modeling, security assessments, and incident response/root-cause analysis.

• Establish governance for AI model inventory, risk classification, and lifecycle management.

• Partner with Data Science, MLOps, and Security teams to secure AI/ML deployment pipelines.

• Document security architecture, standards, procedures, and operational processes.

Required Qualifications

• 13+ years of experience in cybersecurity engineering or security architecture.

• 2+ years of experience in AI/ML security.

• Hands-on experience with HiddenLayer.

• Experience securing LLM-based applications and AI/ML workloads.

• Knowledge of adversarial machine-learning techniques and AI-specific threats.

• Strong understanding of Python, REST APIs, Kubernetes, and container security.

• Experience with AWS, Azure, or Google Cloud Platform AI services.

• Experience integrating security platforms through APIs and automation.

• Understanding of AI model lifecycle management.

Preferred Skills

• Protect AI, Microsoft AI Security, NVIDIA AI Enterprise Security, or Palo Alto AI Runtime Security.

• MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning.

• Splunk, Microsoft Sentinel, Google Chronicle, or QRadar.

• CISSP, GSEC, GIAC, or cloud security certifications.

• Knowledge of NIST AI RMF, OWASP Top 10 for LLM Applications, or MITRE ATLAS.