Artificial Intelligence; AI Identity Architect

Qualifications

• The individual in this role must be well educated in general aspects of Information Security as well as:
• Have proven experience in providing architecture guidance and advisory services to internal or external clients for various environments and systems, including application/technology blueprints, roadmaps, optimization, and migration strategies
• Extensive experience implementing or architecting AI, ML or automation technologies within IAM or cybersecurity domains
• Experience designing and integrating systems using the Model Context Protocol (MCP) or equivalent AI orchestration standards
• Strong knowledge of Agentic AI architectures (multi-agent systems, LLM orchestration, reinforcement-based agents or decision engines)
• Strong experience with enterprise IAM platforms (Entra , Okta, Ping, SailPoint, Cyber Ark, Plain
• ID) and identity analytics
• Ability to effectively communicate and advocate key security requirements and controls for implementation by development teams
• Ability to communicate effectively with all levels of management, both verbally and in writing
• Bachelor’s or Master’s degree in Information Assurance, Computer Science, Information Systems or related field of study
• 12+ years of practical experience in the field of IT is required. 8+ years of direct Information Security experience
• 6+ years’ experience in hands‑on Identity & Access Management positions
• 2+ years of experience implementing or architecting AI/ML…

Responsibilities

• IAM services include, but are not limited to, Identity Lifecycle Management, authentication and authorization, session management, access requests, access provisioning, access reauthorization, remote access, IAM services API, role and entitlement models, and directory technologies
• The AI Identity Architect will work with other Architects and Service Owners to create a roadmap that meets strategic and current requirements
• Partner with IAM and other architecture teams to integrate AI-driven capabilities into the existing IAM strategy, ensuring alignment with business objectives and security regulations
• Architect AI-augmented solutions that enhance the global IAM platforms’ intelligence, automation and adaptive capabilities
• Architect and integrate AI-based features, such as adaptive access control, predictive threat detection and identity analytics, into the IAM framework
• Define architectural standards, frameworks and patterns for AI-assisted IAM services across on-prem, hybrid and cloud environments
• Establish architectural guardrails and governance models for safe and auditable deployment of AI and Agentic agents across EY’s business teams
• Define and enforce identity management strategies tailored for AI agents, including their unique life cycles, entitlements, and owner relationships
• Serve as a trusted advisor to senior leadership on the application of Agentic AI to identity operations, user experience and risk reduction
• Partner with data and platform teams to ensure alignment with enterprise AI governance and model management frameworks

Full Description

Position: Artificial Intelligence (AI) Identity Architect

Artificial Intelligence (AI) Identity Architect

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The Opportunity

The Artificial Intelligence (AI) Identity Architect will partner across technology and business teams to design and govern the integration of Agentic AI, automation and intelligence into EY’s global Identity and Access Management (IAM) ecosystem.

The architect will collaborate closely with Security Architects, Development Leads, Engineering, Operations and other internal business teams to ensure that Agentic AI solutions are securely designed, comply with IAM standards and are aligned with EY’s global technology and security strategies.

The AI Identity Architect is accountable for the alignment of business, operational and security requirements and the translation of those requirements into technical IAM capabilities.

IAM services include, but are not limited to, Identity Lifecycle Management, authentication and authorization, session management, access requests, access provisioning, access reauthorization, remote access, IAM services API, role and entitlement models, and directory technologies.

The AI Identity Architect will work with other Architects and Service Owners to create a roadmap that meets strategic and current requirements.

Your

Key Responsibilities

• Partner with IAM and other architecture teams to integrate AI-driven capabilities into the existing IAM strategy, ensuring alignment with business objectives and security regulations

• Architect AI-augmented solutions that enhance the global IAM platforms’ intelligence, automation and adaptive capabilities

• Architect and integrate AI-based features, such as adaptive access control, predictive threat detection and identity analytics, into the IAM framework

• Define architectural standards, frameworks and patterns for AI-assisted IAM services across on-prem, hybrid and cloud environments

• Establish architectural guardrails and governance models for safe and auditable deployment of AI and Agentic agents across EY’s business teams

• Define and enforce identity management strategies tailored for AI agents, including their unique life cycles, entitlements, and owner relationships

• Serve as a trusted advisor to senior leadership on the application of Agentic AI to identity operations, user experience and risk reduction

• Partner with data and platform teams to ensure alignment with enterprise AI governance and model management frameworks

Skills And Attributes For Success

The individual in this role must be well educated in general aspects of Information Security as well as:

• Have proven experience in providing architecture guidance and advisory services to internal or external clients for various environments and systems, including application/technology blueprints, roadmaps, optimization, and migration strategies

• Extensive experience implementing or architecting AI, ML or automation technologies within IAM or cybersecurity domains

• Experience designing and integrating systems using the Model Context Protocol (MCP) or equivalent AI orchestration standards

• Strong knowledge of Agentic AI architectures (multi-agent systems, LLM orchestration, reinforcement-based agents or decision engines)

• Strong experience with enterprise IAM platforms (Entra , Okta, Ping, SailPoint, Cyber Ark, Plain

ID) and identity analytics

• Ability to effectively communicate and advocate key security requirements and controls for implementation by development teams

• Ability to communicate effectively with all levels of management, both verbally and in writing

Education

• Bachelor’s or Master’s degree in Information Assurance, Computer Science, Information Systems or related field of study

Experience

• 12+ years of practical experience in the field of IT is required. 8+ years of direct Information Security experience

• 6+ years’ experience in hands‑on Identity & Access Management positions

• 2+ years of experience implementing or architecting AI/ML…