Expert AI Security Engineer – AppSec

Jobtailor; Bengaluru; On-site; INR 300,000 - 450,000; Full time

Job summary

Jobtailor seeks an AI/ML Security Architect to lead the design and implementation of security controls for AI/ML models, pipelines, and data flows. You will work with cross-functional teams to embed secure practices across the AI/ML lifecycle and champion vulnerability management and secure development training.

The role requires hands-on experience in securing AI/ML systems, familiarity with AI security threats, and experience using security tools like Adversarial Robustness Toolbox.

Qualifications

• 5–8 years in information security with significant experience in application security and AI/ML security.
• Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC.
• Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
• Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox).

Responsibilities

• Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
• Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
• Build and maintain automation pipelines for AI/ML security testing and monitoring.
• Partner with CISO functions, Engineering, Product, and Data to embed security into AI/ML development lifecycles.
• Support detection, triage, and remediation of AI/ML‑specific security incidents.
• Facilitate secure development training focused on AI/ML risks and best practices.
• Track and report status of vulnerabilities, including AI/ML‑specific metrics such as model robustness and data integrity.

Skills

Information Security

Application Security

AI/ML Security

Tools

Adversarial Robustness Toolbox

Job description

Responsibilities

• Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
• Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
• Build and maintain automation pipelines for AI/ML security testing and monitoring.
• Partner with CISO functions, Engineering, Product, and Data to embed security into AI/ML development lifecycles.
• Support detection, triage, and remediation of AI/ML‑specific security incidents.
• Facilitate secure development training focused on AI/ML risks and best practices.
• Track and report status of vulnerabilities, including AI/ML‑specific metrics such as model robustness and data integrity.

Requirements

• 5–8 years in information security, with significant experience in application security and AI/ML security.
• Hands‑on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC.
• Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
• Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox).
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