Security Engineering Vulnerability Protect Engineer

Job Title: Security Engineering Vulnerability Protect Engineer Location: Remote Duration: Long term End Client : Banking Domain Responsibilities Security Engineering Vulnerability Protect Engineer • About the Role We're seeking an experienced Security Engineering Vulnerability Protect Engineer to lead the deployment, administration, and strategic use of the HiddenLayer platform in defense of our AI/ML systems. This role sits at the intersection of cybersecurity engineering and applied machine learning, focused on protecting models and LLM-based applications from adversarial attacks, data poisoning, model theft, and other emerging AI-specific threats. You'll partner closely with Data Science, MLOps, and broader security teams to build a resilient, well-governed AI security posture across the organization. Responsibilities Platform Operations • Deploy, configure, and administer the HiddenLayer platform • Integrate HiddenLayer with enterprise SIEM, SOAR, EDR, vulnerability management, and cloud security platforms • Create detection rules, dashboards, and executive reporting on AI security posture AI/ML Threat Protection • Protect AI models against adversarial attacks, model theft, prompt injection, model poisoning, and unauthorized inference • Develop monitoring and detection strategies for production AI workloads • Conduct AI threat modeling exercises • Respond to AI-related security incidents and perform root cause analysis Security Assessment & Governance • Assess AI applications for security risks across the full development lifecycle • Design governance around AI model inventory, risk classification, and lifecycle management • Document architecture, standards, and operational procedures Cross-Functional Partnership • Partner with Data Science and MLOps teams to implement secure model deployment pipelines • Stay current on emerging AI attack techniques and defensive capabilities Required Qualifications • 5+ years of experience in cybersecurity engineering or security architecture • 2+ years supporting AI/ML security initiatives • Hands-on experience deploying or administering HiddenLayer Working knowledge of adversarial machine learning techniques, including: • Prompt injection • Model extraction • Data poisoning • Model evasion • Membership inference • Supply chain attacks Experience securing LLM-based applications • Understanding of AI model lifecycle management • Familiarity with Python and REST APIs • Experience with Kubernetes and container security • Knowledge of AI services on AWS, Azure, or Google Cloud Platform • Experience integrating security platforms via APIs and automation Preferred Qualifications • Experience with additional AI security platforms: Protect AI, Microsoft AI Security, NVIDIA AI Enterprise Security, or Palo Alto AI Runtime Security • Experience with ML platforms/tools: MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning • Experience with SIEM platforms: Splunk, Microsoft Sentinel, Google Chronicle, or QRadar • Security certifications: CISSP, GSEC, GIAC, or cloud security certifications • Familiarity with AI governance frameworks: NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, or MITRE ATLAS