Location: Toronto, ON (Hybrid, 2 days onsite) Duration: 6 months with high possibility of extension Role Overview We are seeking an experienced AI Identity Architect with deep expertise across Artificial Intelligence, Enterprise Architecture, and Identity & Access Management (IAM) . This role will define and lead the design of secure, scalable identity architectures for both human and machine (AI/agentic) identities , ensuring alignment with enterprise security, governance, and Zero Trust principles. The ideal candidate is a hands-on architect and subject matter expert (SME) who understands how AI systems operate and can translate that into robust identity, authentication, authorization, and governance models . Key Responsibilities AI + Identity Architecture Design identity frameworks for AI and agentic systems , including: Non-human identity lifecycle (AI agents, service identities, bots) Authentication and authorization models for AI workloads Secure delegation and impersonation controls Ensure traceability, auditability, and accountability of AI-driven actions Define and evolve end-to-end IAM architecture across: Active Directory Architect solutions for: Identity lifecycle management Access control models (RBAC/ABAC) Federation and SSO Align designs with Zero Trust and least privilege principles AI Security & Governance Establish governance frameworks for AI identity usage Model access and data access boundaries Privileged access to AI systems Secure API and token-based access patterns Partner with security teams to mitigate emerging AI-related identity risks Act as a lead architect for integrating AI platforms with enterprise IAM Develop reference architectures, standards, and patterns Ensure consistent identity enforcement across hybrid and multi-cloud environments Advisory & Leadership Serve as SME across AI domains & IAM Provide guidance to engineering, security, and platform teams Lead architecture reviews, design decisions, and strategy alignment Required Qualifications Strong understanding of AI/ML systems and architectures 10+ years of experience in IAM and enterprise security architecture Experience designing secure identity models for APIs, services, and automation Identity protocols (SAML, OAuth2, OIDC) Active Directory and cloud identity platforms (AWS, Entra ID) Deep knowledge of: Privileged Access Management (PAM) Identity governance and lifecycle management Preferred Skills Experience with agentic AI or autonomous systems Knowledge of machine identity, secrets management, and tokenization Experience integrating IAM with modern AI/ML platforms and pipelines Core Competencies Strong architecture and system design mindset Solid understanding of AI risks and security implications Ability to bridge emerging technologies with enterprise controls Excellent communication and influence across technical and leadership stakeholders Success Profile Establishes secure identity patterns for AI systems at scale Enables safe AI adoption without increasing enterprise risk Drives consistent identity architecture across AD, cloud, and AI ecosystems Serves as a trusted advisor and technical authority in IAM + AI #J-18808-Ljbffr