Analyze the design and architecture of AI solutions (chatbots, agents, agentic systems, etc.) to identify security vulnerabilities, threats, and attack vectors
Develop and maintain threat models for AI/ML systems
Assess AI system components for susceptibility to attacks and compliance with security standards
Create detailed threat reports outlining identified risks, recommended mitigations, and business impact
Collaborate with business units, product owners, and engineering teams to prioritize and implement security controls
Stay current with emerging threats, vulnerabilities, and best practices in AI/ML security
Provide training and guidance to technical teams on secure AI/ML development and deployment practices.

Requirements

Bachelor’s/Master’s degree (or similar) in Computer Science, Cybersecurity, Data Science, or a related field
5+ years of experience in Cybersecurity Architecture, Threat Modeling, or AI/ML engineering
Strong understanding of AI/ML concepts, architectures, and common frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Applied knowledge of threat modeling and threat modeling techniques (e.g., STRIDE, DREAD, PASTA) and security risk assessment
Familiarity with AI/ML-specific threats such as adversarial examples, model extraction, and data poisoning
Excellent analytical, communication, and documentation skills
Ability to work collaboratively in cross-functional teams.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

threat modelingAI securityML securitysecurity risk assessmentTensorFlowPyTorchScikit-learnadversarial examplesmodel extractiondata poisoning

analytical skillscommunication skillsdocumentation skillscollaborative skills

Bachelor’s degreeMaster’s degreeCybersecurity certification