Job Title: AI Identity Architect Location: Toronto, ON (Hybrid, 2 days onsite) open for remote as well 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
Enterprise IAM Architecture
Define and evolve end-to-end IAM architecture across:
Active Directory
Cloud platforms (AWS, Microsoft Entra)
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
Define controls for:
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
Architecture & Integration
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
Proven expertise in:
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
Deep IAM subject matter expertise
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
Positioning Statement This role is critical to ensuring Bank adopts AI technologies, identity remains the control plane - secure, governed, and designed to scale with the next generation of digital capabilities.
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 120.00/hr.
