Expert AI Security Engineer

Finastra; Bengaluru; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Finastra is seeking an AI Security Leader to design and implement security controls for AI/ML models, pipelines and data flows. You will author safety regression tests and establish runbooks, dashboards, and checks.

You will drive vulnerability coverage across AI/ML and applications with SAST, DAST, and specialized tools, while building automation for testing and monitoring. Collaboration with engineering, product and data teams is essential.

Qualifications

• 5–8 years in information security with emphasis on AI/ML security.
• Hands-on security of AI/ML models, pipelines, and data in the SDLC.
• Familiarity with AI threat landscape and mitigation tools.

Responsibilities

• Lead design and implementation of security controls for AI/ML models and data flows.
• Coordinate vulnerability management for AI/ML stacks using SAST/DAST and tooling.
• Build automation pipelines for AI/ML security testing and monitoring.
• Collaborate with CISO, Engineering, Product, and Data teams across lifecycle stages.
• Support incident response for AI/ML-specific security events.
• Deliver secure development training on AI/ML risks and best practices.
• Track AI/ML vulnerability metrics and report status to stakeholders.
• Maintain runbooks, dashboards, and AI/ML security documentation.

Skills

AI/ML security

Application security

Security leadership

Python scripting

Security testing

Tools

Adversarial Robustness Toolbox

Job description

Role & responsibilities

AI Security Leadership: Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows. Author safety regression tests and break-glass controls.

• Vulnerability Management: Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.


• Automation & Tooling: Build and maintain automation pipelines for AI/ML security testing and monitoring.


• Cross-Functional Collaboration: Partner with CISO functions, Engineering, Product, and Data to embed security into AI/ML development lifecycles.


• Incident Response: Support detection, triage, and remediation of AI/ML-specific security incidents.


• Training & Advocacy: Facilitate secure development training focused on AI/ML risks and best practices.


• Metrics & Reporting: Track and report status of vulnerabilities, including AI/ML-specific metrics (e.g., model robustness, data integrity).


• Establishes routines for updating documentation, runbooks, and dashboards with AI/ML security content.


• Effectively communicates complex AI/ML security topics to technical and non-technical stakeholders.

Required Qualifications

• 5 to 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).


• Mandatory or scripting experience (Python preferred; experience with AI/ML frameworks a plus).