Security Vulnerability Engineer (AI/ML, LLM)

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