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Position Overview We are seeking an experienced Senior Identity and Access Management (IAM) Security Architect to lead the design and evolution of enterprise identity security solutions, with a particular focus on emerging Agentic AI technologies. The ideal candidate will bring deep expertise in enterprise IAM architecture, including authentication, authorization, identity federation, privileged access management, identity governance, and workload identities across complex hybrid and cloud environments. This role requires a strong understanding of modern AI-driven architectures, particularly how autonomous AI agents securely authenticate, access enterprise resources, interact with other agents, and perform actions on behalf of users.



The successful candidate will work closely with enterprise architecture, cybersecurity, cloud, and AI engineering teams to establish scalable, secure, and governed identity frameworks supporting both traditional enterprise systems and emerging AI capabilities.

Key Responsibilities Enterprise IAM Architecture

Design, develop, and maintain enterprise IAM architectures supporting on-premises, cloud, and hybrid environments.

Define secure authentication, authorization, identity federation, and access management patterns.

Establish identity security standards for users, applications, services, workloads, and non-human identities.

Provide architectural guidance on Privileged Access Management (PAM), Identity Governance and Administration (IGA), Single Sign-On (SSO), and Multi-Factor Authentication (MFA).

Design identity lifecycle management, access provisioning, and least-privilege access models.

Evaluate existing IAM environments, identify security gaps, and recommend architectural improvements.

Agentic AI & Modern Identity Security

Develop identity and access management architecture patterns supporting autonomous AI agents and AI-enabled enterprise applications.

Define secure authentication and authorization mechanisms for AI agents, service identities, and machine-to-machine interactions.

Establish security controls governing how AI agents access enterprise systems, applications,



APIs, and sensitive information.

Design identity propagation, delegated authorization, and access control models for AI agents acting on behalf of human users.

Evaluate security considerations associated with agent-to-agent communication and emerging protocols, including Model Context Protocol (MCP) and Agent2Agent (A2A).

Define governance, monitoring, and auditing requirements for AI agent identities and activities.

Collaborate with AI engineering and cybersecurity teams to mitigate identity-related risks associated with autonomous agents.

Security Architecture & Governance

Ensure IAM architecture aligns with enterprise security standards, Zero Trust principles, and regulatory requirements.

Conduct architecture reviews, risk assessments, and security design evaluations.

Develop IAM reference architectures, security patterns, technical standards, and architectural documentation.

Provide recommendations for securing privileged access, workload identities, API integrations, and cross-platform authentication.

Collaborate with technical stakeholders to ensure identity security controls are incorporated into new and existing solutions.

Cloud & Azure Security (Asset)

Support secure identity architecture across Microsoft Azure and hybrid cloud environments.

Provide guidance on Microsoft Entra ID, Managed Identities, Conditional Access, Azure RBAC, and workload identity federation.

Evaluate cloud-native security capabilities, including Azure Key Vault, monitoring, and compliance services.

Apply Zero Trust principles to cloud identity and access management designs.

Skills & Qualifications

📌 Senior IAM Security Architect – Agentic AI (Rankin Inlet)
🏢 Compugen
📍 Rankin Inlet