Manage / lead a team of Technology Controls / Information Security experts
Support the identification, assessment, and management of vulnerabilities unique to AI models
Contribute to processes enabling continuous detection, classification, and remediation of AI-related risks
Perform model assessments and operate scanning tools
Assist in documenting and communicating risks to relevant stakeholders
Collaborate with engineering partners to support the organization's AI risk posture

Requirements

Bachelor's degree preferred
Information security certification / accreditation an asset
10+ years of relevant experience
Demonstrated success in building AI vulnerability management programs
Experience supporting vulnerability management activities
Understanding of AI/ML lifecycle stages (data preparation, training, deployment, and monitoring)
Familiarity with AI/ML model architectures, pipelines, and frameworks (TensorFlow, PyTorch, Scikit learn)
Knowledge of cloud based AI platforms such as AWS Sagemaker, Azure AI, or GCP Vertex AI
Exposure to AI security tooling or model specific vulnerability assessment techniques
Working knowledge of ServiceNow Vulnerability Response or similar SecOps workflows
Understanding of AI related security frameworks and emerging threat vectors
Experience in regulated industries or familiarity with applicable standards (e.g., FFIEC, GLBA, GDPR, PCI DSS, NYDFS Cybersecurity Regulation)
Advanced security certifications (CISSP, CCSP, or equivalent)

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

vulnerability managementAI vulnerability management programsAI/ML lifecycle stagesAI/ML model architecturesTensorFlowPyTorchScikit learncloud based AI platformsAWS SagemakerAzure AI

Soft Skills

team managementcommunicationcollaborationrisk assessmentstakeholder engagement

Certifications

Information security certificationCISSPCCSP