Principal Information Security Engineer (AI/ML)

TL;DR

Principal Information Security Engineer (AI/ML): Leading the design and implementation of secure architectures for AI/ML components and features integrated into cloud security products with an accent on developing a strategic roadmap, conducting specialized threat modeling, and performing security risk assessments. Focus on identifying unique vulnerabilities such as adversarial attacks, data poisoning, model inversion, prompt injection, and bias, and embedding security controls throughout the AI/ML product development lifecycle (SDLC/MLOps).

Location: This is a hybrid role based in Bangalore, India.

Company

hirify.global is a cloud-native Zero Trust Exchange platform protecting customers from cyberattacks and data loss by securely connecting users, devices, and applications.

What you will do

• Lead design and implement secure architectures for AI/ML components and features within cloud security products.
• Develop a strategic roadmap for AI/ML product security, aligning with hirify.global's product vision and the evolving threat landscape.
• Conduct specialized threat modeling exercises for new and existing AI/ML product features and models.
• Perform comprehensive security risk assessments of AI/ML product initiatives and drive their remediation.
• Collaborate with AI/ML engineers, data scientists, and product management to embed security controls throughout the AI/ML product development lifecycle.

Requirements

• 10+ years of progressive experience in Information Security, with at least 5+ years in a dedicated Security Architecture role.
• 3+ years of direct experience securing AI/ML systems, models, and data within commercial software products or large-scale SaaS offerings.
• Proven expertise in designing and securing large-scale, distributed systems on public cloud platforms (AWS, Azure, GCP).
• Strong understanding of AI/ML fundamentals, algorithms, model development lifecycles, and MLOps principles.
• Hands-on experience with threat modeling methodologies (e.g., STRIDE, MITRE ATLAS for ML) applied to product features.

Nice to have

• Demonstrated ability to translate complex security requirements into practical, implementable architectural designs for product teams.
• Excellent communication, presentation, and interpersonal skills, with the ability to influence technical and non-technical stakeholders.
• Ability to work independently and as part of a globally distributed team.

Culture & Benefits

• Comprehensive and inclusive benefits including various health plans, time off, and parental leave options.
• Retirement options and education reimbursement.
• In-office perks available.
• Commitment to building a diverse and inclusive team that values collaboration and belonging.
• Culture of execution centered on customer obsession, collaboration, ownership, and accountability.
• Hybrid working model.