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Niche AI security specialization reduces applicants, but metro locations and mid-level seniority increase competition.
Highly specialized AI/ML security expertise and fintech/regulatory context limits cross-industry transferability.
Explicit 5–8 years requirement and mandatory AI/AppSec experience make filtering rigorous.
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Lead design and implementation of security controls specifically for AI/ML models, pipelines, and data flows.
Manage vulnerability coverage for AI/ML and application security using automated tools including SAST, DAST, and AI-specific scanners.
Collaborate cross-functionally with AI Center of Excellence, engineering, product, and CISO teams to embed security in AI/ML development lifecycle and support incident response.
5 to 8 years of experience in information security with significant expertise in application security and AI/ML security.
Hands-on experience securing AI/ML models, pipelines, and data within AI/ML SDLC including familiarity with AI/ML threats like adversarial attacks, model inversion, and data poisoning.
Experience with AI/ML security tools such as Adversarial Robustness Toolbox and scripting skills, preferably Python.
Work Experience Required: 5 to 8 years in information security; Notice period: Not explicitly mentioned in the JD.
Demonstrated ability to lead AI/ML security initiatives including threat modeling, red teaming, and vulnerability assessment for AI systems.
Experience working directly with software developers and data scientists to enhance AI model and code security.
Knowledge of regulated fintech environments and relevant industry certifications (AIRTP+, CAISF, CISSP, AWS Certified Security-Specialty, GIAC, CEH) is highly desirable.