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Strong employer brand and metro location increase competition, but niche AI security specialization moderates pressure.
Role requires specialized AI/ML security experience and regulated fintech knowledge, limiting cross-industry transferability.
Explicit 5-8 years requirement plus mandatory AppSec and AI/ML security experience and tooling raises strictness.
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Lead security design and implementation for AI/ML models, pipelines, and data flows, focusing on AI/ML-specific security measures and traditional application security.
Manage vulnerability detection and remediation using SAST, DAST, dependency scanning, and AI security tools with emphasis on automation of security testing and monitoring for AI/ML.
Collaborate with CISO teams, engineering, product, and data functions to embed security in the AI/ML development lifecycle and manage AI/ML-specific security incidents and reporting.
5 to 8 years of experience in information security with significant application security and AI/ML security expertise.
Hands-on experience securing AI/ML models, pipelines, and data within AI/ML SDLC.
Proficiency in mandatory or scripting languages, preferably Python; familiar with AI/ML security tools (e.g., Adversarial Robustness Toolbox).
Work Experience Required: 5 to 8 years in information security with AI/ML and AppSec focus.
Experienced in threat modeling and red teaming exercises specific to AI/ML systems, including adversarial attacks and vulnerability assessments.
Experience working directly with software developers and data scientists to improve security of code and AI/ML models.
Background in regulated fintech environments and relevant security certifications (e.g., AIRTP+, CAISF, CISSP, AWS Security Specialty) is highly desirable.