AI/ML Threat Modeler & Design Reviewer

Role OverviewThe AI/ML Threat Modeler & Design Reviewer will lead security-safe architectural assessments of AI systems—from data ingestion to deployment. You'll map threats, identify attack surfaces, and propose mitigation strategies rooted in known frameworks like MITRE ATLAS or STRIDE. Key ResponsibilitiesConduct threat modeling workshops and architecture reviews for AI/ML/LLM systemsAnalyze model training workflows, inference environments, data pipelines, and cloud deploymentsIdentify AI-specific risks: data leakage, adversarial inputs, model misuseMap threats to frameworks (e. g.

, STRIDE, MITRE ATLAS) and recommend mitigationsCollaborate with AI Governance and engineering teams on secure AI integrationsProduce detailed reports, threat diagrams, risk analyses, and remediation roadmapsRequired Qualifications & Skills3+ years in threat modeling, secure architecture, or security design reviews Solid understanding of ML workflows, LLMs, and cloud‑native AI infrastructureKnowledge of privacy risks (re‑identification, leakage) and data protection measuresExperience with AWS/Azure/GCP secure designStrong written/verbal communication and system diagramming abilityPreferred (Bonus) QualificationsHands-on experience designing privacy-preserving ML (e. g. , federated learning, differential privacy)Familiarity with governance frameworks and compliance standards for AI-safe deployments