Finastra

Senior AI Security Engineer, Application Security

Bengaluru Pune
Python AI Machine Learning API Docker Kubernetes AWS Azure GCP Git
Description

Sr. AI Security Engineer – AppSec

Location: Bengaluru, Pune

Time Type: Full time

Job Description

Who are we?

At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries.

This is a senior level IC role that will drive platform security initiatives with a primary focus on securing AI/ML systems and models. You’ll partner with AI COE, engineering, product, and other CISO functions to ensure robust security for AI-powered features and infrastructure, while maintaining coverage for traditional AppSec domains.

Key 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).

Preferred Qualifications

  • Threat Modeling & Red Teaming: experience with threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems.

  • Vector DBs, RAG frameworks, MCP; cloud certifications;

  • Working experience in a regulated fintech environment

  • 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.

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we uphold:


·       Flexibility: Enjoy unlimited vacation, based on your location and business priorities. Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave.

·       Well-being: Access Confidential one-on-one therapy through our Employee Assistance Program, find support from our network of Wellbeing Champions and Gather Groups, and a calendar of monthly events and initiatives designed to help you thrive - Inside and Outside of work.

·       Medical, life & disability insurance, retirement plan, lifestyle and other benefits*

·       Sustainability: Benefit from paid time off for volunteering and donation matching.

·       DEI: Participate in multiple DE&I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra).

·       Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.

·       Recognition: Be part of our global recognition program, Finastra Celebrates, and contribute to regular employee surveys to help shape Finastra and foster a culture where everyone is engaged and empowered to perform at their best.


*Specific benefits may vary by location.

At Finastra, each individual is unique, bringing their own ideas, thoughts, cultural beliefs, backgrounds, and experiences together. We learn from one another, embrace and celebrate our differences, and create an environment where everyone feels safe to be themselves.

Be unique, be exceptional, and help us make a difference at Finastra!

Finastra
Finastra

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