Finastra

Principal AI Security Architect

Atlanta · Principal

Sponsorship not specifiedDetected 30 days ago

GitAzureCI/CDMachine LearningRAGCybersecurityIncident ResponseComplianceResearchLeadershipCISSP

About the role

This role requires both strategic leadership and hands-on technical depth in AI security architecture, adversarial ML defenses, DevSecOps, and incident response.
Benefit from hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.
Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra-open to everyone who wants to participate and contribute.

Integrate AI security controls and requirements into enterprise architecture patterns and overlays, ensuring secure-by-design principles are applied.
Lead the evaluation, selection, and implementation of AI security tools, working collaboratively with internal stakeholders and external partners.
Participate in and support audits, compliance reviews, and incident response as it relates to AI systems.
Partner to develop and enforce AI security policies, including compliance with emerging standards (e.g., NIST AI RMF).
Perform AI threat modeling and risk assessments to identify, prioritize, and mitigate security risks related to AI/ML initiatives.
Create playbooks for AI-specific incident response (e.g., model compromise, data exfil via prompts, malicious fine-tuning)
Drive red-team/blue-team exercises for AI systems and coordinate independent architecture reviews across product lines.
At Finastra, each individual is unique-bringing their own ideas, perspectives, cultural backgrounds, and experiences.
We learn from one another, value what makes us different, and create an environment where everyone feels included, supported, and able to be their authentic selves.

Bachelor's or master's degree in computer science, Information Security, Engineering, or related field.
Proven progressive experience in information security, with focus on AI/ML security.
Deep expertise in AI/ML architecture, model security, AI threat modeling, and AI risk assessment methodologies.
Proven experience in AI security tool evaluation, selection, and integration.
Strong ability to communicate complex technical concepts to technical and non-technical stakeholders.
Experience with Azure ML, Azure OpenAI, Microsoft/GitHub Copilot security patterns

Primary AI Security SME for the CISO organization.
AI Security SME supporting AI COE, providing expert guidance on AI security architecture, policies, and standards.
Establish reference architectures (e.g. RAG, MCP, agents, tenancy/orchestration), with standardized patterns for identity, access, data protection, and plugin safety.
Stay current with advancements in AI/ML security, threat landscapes, and emerging technologies
proactively adapt frameworks and controls accordingly.
Stay ahead of evolving AI threats and recommend cutting-edge security solutions by conducting research and innovation.
Converts AI risks into actionable controls, KPIs, and board‑level narratives.
Ensure alignment of AI security practices with organizational strategy and regulatory requirements.

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

Enjoy unlimited vacation, subject to local regulations and business priorities.
Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.*
Paid time off for volunteering and donation‑matching opportunities to support causes that matter to you.
Specific benefits may vary by location.

Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.
Help us make a difference at Finastra.

This listing is sourced directly from Finastra's careers page and normalized into a canonical job model.