Senior AI Security Architect — Enterprise-Scale AI Security

Northern Trust; Tempe (AZ); Sur place; USD 131 000 - 222 000; Plein temps

Résumé du poste

Northern Trust is seeking a Principal AI Security Architect to define and operationalize security architecture, governance, and guardrails for enterprise AI, agentic systems, and digital coworkers. This hands-on role partners with engineering, identity, data, and risk teams to deliver secure AI platforms.

The ideal candidate will design architecture artifacts, drive security patterns, and create guidance for engineering teams implementing AI capabilities.

Qualifications

• 8+ years of experience in security architecture, enterprise architecture, cloud architecture, engineering, or related disciplines.
• Experience designing and reviewing complex enterprise technology solutions.
• Strong understanding of: Identity and access management, Authentication and authorization, Cloud security, Application security, Network security, API security, Data protection, Logging and monitoring, Secrets management.
• Experience with Microsoft Azure or comparable cloud platforms.
• Ability to produce architecture diagrams and technical design documentation.
• Experience facilitating architecture reviews and working across multiple stakeholder groups.
• Excellent written and verbal communication skills.

Responsabilités

• Serve as lead security architect for AI, agentic AI, cloud, SaaS, and emerging technology initiatives.
• Review and challenge solution designs to identify security requirements, architectural risks, and opportunities for improvement.
• Develop security architecture deliverables including: Solution diagrams, Data-flow diagrams, Trust boundary diagrams, Reference architectures, Security patterns, Design standards, Control requirements.
• Conduct threat modeling and security design reviews for AI systems and supporting technology platforms.
• Translate security policies and control objectives into practical engineering requirements.
• Help define security patterns for: AI agents and digital coworkers, AI platforms and orchestration frameworks, RAG architectures, MCP integrations, AI identities and delegated authorization models, Model access control and governance, AI observability and monitoring.
• Work with delivery teams to accelerate security reviews through reusable patterns and pre-approved architectures.
• Create practical implementation guidance for engineering teams building AI capabilities.
• Build and maintain a library of reusable AI security reference architectures, architectural decision records, and security patterns.
• Develop architecture standards and guardrails for enterprise AI adoption.
• Identify recurring design decisions and convert them into reusable reference material.
• Contribute to enterprise-wide AI security strategy and architecture direction.
• Partner closely with: Enterprise Architecture, Security Engineering, Identity & Access Management, Application Security, Security Operations, Data Protection, Cloud Engineering, Emerging Technology teams.
• Facilitate architecture workshops, design sessions, and technical working groups.
• Influence security and technology decisions across multiple organizations.
• Research emerging AI technologies and security capabilities.
• Evaluate new platforms, architectures, frameworks, and third-party solutions.
• Provide technical recommendations that balance innovation, security, operational complexity, and business value.

Connaissances

Security architecture

Enterprise architecture

Cloud security

Identity & access management

Authentication & authorization

Application security

Network security

API security

Data protection

Logging & monitoring

Secrets management

Threat modeling

Azure

Outils

Microsoft Azure

Description du poste

Northern Trust is seeking a Principal AI Security Architect to define and operationalize security architecture, governance, and guardrails for enterprise AI, agentic systems, and digital coworkers. This hands-on role partners with engineering, identity, data, and risk teams to deliver secure AI platforms.

The ideal candidate will design architecture artifacts, drive security patterns, and create guidance for engineering teams implementing AI capabilities.