Security Engineering Vulnerability Protect Engineer
Hi Associate, Greetings for the day, We have a position as a Security Engineering Vulnerability Protect Engineer role for Remote. Please find the job description below for this position.
Role: Security Engineering Vulnerability Protect Engineer
Location: Remote
Duration: 24 Months+About the Role:
We're seeking an experienced Security Engineering Vulnerability Protect Engineer to lead the deployment, administration, and strategic use of the Hidden Layer 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 postureAI/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 HiddenLayerWorking 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 APIsExperience with Kubernetes and container security
- Knowledge of AI services on AWS, Azure, or GCPExperience 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 QRadarSecurity 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.Thanks & RegardsRAJU REDDY |Sr. Team ManagerCIS Technology IncPlano, TX 75074 Direct: 678-825-9254raju.s@cis-tec.com