Artificial Intelligence Security Architect – Director

Citi

. Partner, coach and functionally lead IT, engineering, development, data science, and business teams through collaborative design discussions focused on IAM and comprehensive AI security, including agentic systems.

Posted 4/25/2026full-timeIrving • Florida, Texas • 🇺🇸 United StatesLead💰 $170,000 - $300,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact

Partner, coach and functionally lead IT, engineering, development, data science, and business teams through collaborative design discussions focused on IAM and comprehensive AI security, including agentic systems.
Educate internal and external clients on security risk, best practices, and the secure, ethical implementation of IAM and AI.
Define and lead the security strategy for enterprise-wide Identity and Access Management, including identity lifecycle, authentication, authorization, privileged access management, and directory services, with a focus on Zero Trust principles and regulatory alignment.
Establish and evolve the comprehensive security strategy and architectural guidelines for all AI/ML initiatives, ensuring the secure and ethical design, development, deployment, and operation of AI systems, models, and data.
Develop strategies for AI risk management, addressing concerns related to data privacy, model bias, explainability, adversarial attacks, and the secure integration of AI into critical business processes.
Develop and maintain IAM reference architectures, playbooks, and control frameworks tailored to the bank’s technology stack, third-party oversight obligations, and global regulatory landscape.
Architect secure, scalable, and resilient IAM solutions for workforce, customer, and partner identities, encompassing identity federation, single sign-on (SSO), multi-factor authentication (MFA), privileged access management (PAM), and robust access governance across diverse environments.
Partner with engineering, platform operations, data science, and enterprise architecture teams to embed IAM security and comprehensive AI security throughout service lifecycles — from ideation through production.
Integrate advanced security controls into IAM platforms and AI/ML development, deployment, and operational workflows (e.g., MLOps), driving secure-by-design principles for identities, access, data, and AI systems.
Automate security testing, policy enforcement, and compliance checks within IAM provisioning, access governance processes, and AI model development and deployment pipelines.
Ensure compliance with banking regulations including GLBA, SOX, FFIEC, PCI-DSS, NYDFS, OCC cybersecurity guidelines, GDPR, CCPA, and emerging AI regulations (e.g., EU AI Act, NIST AI Risk Management Framework).

Requirements

What you’ll need

15+ years of experience in cybersecurity, with 5+ years in enterprise security architecture focused on comprehensive Artificial Intelligence security.
Demonstrated success leading security architecture for financial services, banks, or other highly regulated industries.
Technical expertise in enterprise IAM solutions (e.g., Okta, Azure AD, Ping Identity, SailPoint, CyberArk), identity protocols (e.g., OAuth, OpenID Connect, SAML, SCIM), directory services, and advanced access governance.
Strong command of AI/ML concepts, MLOps practices, data science platforms, and extensive experience in securing the entire AI/ML lifecycle, including data security, model security, and secure development and deployment of AI models and applications.
Specific experience with agentic AI systems, multi-agent architectures, and securing their autonomy, interactions, and decision-making processes.
In-depth knowledge of AI ethics, fairness, transparency, and explainability principles and their practical application in security architecture.
Experience with regulatory audits and control frameworks (e.g., NIST 800-53, ISO 27001, FFIEC CAT, NIST AI RMF), specifically as they apply to IAM and AI.
Proven leadership in cross-functional teams, architecture review boards, and strategic planning sessions.
Excellent communication and presentation skills, with the ability to engage both technical and executive audiences.
Preferred certifications: CISSP, CISM, Certified Identity and Access Manager (CIAM), Certified Data Privacy Solutions Engineer (CDPSE), AWS/Azure/GCP Security certifications (with an emphasis on identity, data, and AI services), relevant AI/ML security certifications (e.g., AICertified AI Security Engineer).

Benefits

Comp & perks

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cybersecurityenterprise security architectureIdentity and Access Management (IAM)AI securityMLOpsdata securitymodel securityaccess governanceidentity protocolsagentic AI systems

Soft Skills

leadershipcommunicationpresentationcollaborationstrategic planning

Certifications

CISSPCISMCertified Identity and Access Manager (CIAM)Certified Data Privacy Solutions Engineer (CDPSE)AWS Security certificationAzure Security certificationGCP Security certificationAI Security certification