Sr. Security Engineer, AppSec

6sense • Bengaluru, CA

76d

About The Position

You will drive platform security initiatives with a primary focus on securing AI/ML systems and models. You'll partner with engineering, product, and data science teams to ensure robust security for AI-powered features and infrastructure, while maintaining coverage for traditional AppSec domains.

Requirements

• 5+ 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, MLFlow security plugins).
• Development or scripting experience (Python preferred; experience with AI/ML frameworks a plus).
• Excellent communication skills.

Nice To Haves

• Bachelor's degree in a related field.
• Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security - Specialty, GIAC, CISSP, CEH are highly desirable).
• Experience working directly with software developers and data scientists to improve code/model security.

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.
• Conduct comprehensive threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems.
• Assess risks such as adversarial attacks, model theft, data poisoning, privacy risks, and other emerging threats to AI/ML models and pipelines.
• Build and maintain automation pipelines for AI/ML security testing and monitoring.
• Partner with Engineering, Product, and Data Science 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 (e.g., model robustness, data integrity).
• Design and execute quarterly OKRs for AI/ML security initiatives.

Benefits

• Health coverage
• Paid parental leave
• Generous paid time-off and holidays
• Quarterly self-care days off
• Stock options
• Access to LinkedIn Learning platform
• Quarterly wellness education sessions

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees