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