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Added 6 mins ago
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Principal Application DevOps Engineer, AI & Automation
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Canada
- Full-time
This is a senior, hands-on individual contributor role for a technical leader who can anchor application operations and progressively build AI-enabled automation capability within Cloud…
Added 6 mins ago
LE
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- Full-time
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Added 7 mins ago
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Added 24 mins ago
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CXC

Information Security Analyst - AI

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 6, 2026
Experience: 5+ years of experience in Information Security, Identity & Access Management (IAM), Security Governance, Risk Management, Cybersecurity, or a related discipline.
Posting language: English
Posted: Oct 7, 2026

Original job description

CXC Global is partnering with an innovative, AI-driven organization that is leveraging advanced technologies to transform business operations through intelligent automation and agentic AI solutions. We are seeking a Senior Information Security Analyst – Agentic AI Identity Governance to lead the development and operationalization of governance frameworks that secure and manage AI-powered agents operating across enterprise environments.

This is an exciting opportunity for a security professional who understands identity governance, risk management, and access controls, and is passionate about helping organizations adopt AI responsibly, securely, and at scale.

Location: Toronto, ON or Mt. Laurel, NJ

Duration: 6-Month Contract with Potential Extension

Start Date: Immediate

Work Authorization: Citizens and Green Card Holders only. Sponsorship or transfer of sponsorship is not available for this opportunity.

Position Summary

As a Senior Information Security Analyst focused on Agentic AI Identity Governance, you will be responsible for establishing and overseeing governance controls for AI agents and other non-human identities. You will work across cybersecurity, IAM, AI engineering, compliance, privacy, legal, and risk management functions to ensure AI systems operate within defined security guardrails while maintaining accountability, transparency, and regulatory compliance.

The ideal candidate brings a strong background in identity governance, privileged access management, security controls, and risk assessment, coupled with an interest in emerging AI governance practices.

Key Responsibilities

AI Identity Governance & Lifecycle Management

Define and maintain governance standards for AI agents and non-human identities across enterprise systems.
Establish processes for identity registration, ownership assignment, classification, and entitlement management.
Develop and manage lifecycle controls covering onboarding, provisioning, approval workflows, access reviews, suspension, and decommissioning.
Ensure accountable business ownership is assigned for all AI agent identities.

Access Control & Security Architecture

Design access models based on least privilege, segregation of duties, policy-based authorization, delegated authority, and just-in-time access principles.
Support implementation of governance controls for privileged and non-privileged AI agents.
Collaborate with IAM and security teams to align AI identity controls with enterprise security architecture and Zero Trust strategies.

Risk, Compliance & Oversight

Conduct risk assessments focused on AI agent activities, decision-making capabilities, tool usage, system integrations, and privileged operations.
Identify governance gaps and recommend appropriate control enhancements.
Assist in policy development related to AI governance, human oversight requirements, escalation procedures, and exception management.
Participate in audit readiness activities and compliance reviews related to AI-enabled technologies.

Monitoring, Auditability & Reporting

Define monitoring and audit requirements to ensure AI activity is observable, attributable, and traceable.
Support implementation of logging, analytics, and reporting capabilities for AI identities.
Conduct periodic access certification reviews and governance maturity assessments.
Produce executive-level reporting on security posture, control effectiveness, risk exposure, and remediation progress.

Cross-Functional Collaboration

Partner with Cybersecurity, IAM, AI Engineering, Privacy, Compliance, Legal, and Risk teams to establish secure AI operating models.
Contribute to threat modeling exercises focused on identity misuse, privilege escalation, credential compromise, unauthorized tool execution, and policy violations.
Provide guidance on emerging AI governance requirements and industry best practices.

Required Qualifications

5+ years of experience in Information Security, Identity & Access Management (IAM), Security Governance, Risk Management, Cybersecurity, or a related discipline.
Strong understanding of Identity Governance & Administration (IGA), Privileged Access Management (PAM), authentication, authorization, access lifecycle management, and certification processes.
Experience supporting controls for non-human identities, including service accounts, machine identities, APIs, automation platforms, bots, or AI-enabled systems.
Knowledge of Zero Trust security principles and least-privilege access methodologies.
Experience conducting risk assessments, control evaluations, compliance reviews, and audit support activities.
Ability to translate complex technology risks into practical governance controls and business recommendations.
Excellent communication, stakeholder management, analytical, and problem-solving skills.

Preferred Qualifications

Experience supporting AI governance, responsible AI initiatives, data governance programs, or model risk management activities.
Familiarity with agentic AI concepts such as autonomous planning, memory, tool orchestration, delegated authority, and multi-agent workflows.
Hands-on experience with:
IAM platforms
IGA solutions
PAM technologies
SIEM/SOAR platforms
API security solutions
Cloud identity platforms
Security monitoring tools
Industry certifications such as:
CISSP
CISM
CISA
CCSP
CRISC
Security+
Identity-focused certifications
Experience working within highly regulated industries such as financial services, healthcare, government, or critical infrastructure.

Technical & Governance Expertise

Successful candidates should demonstrate experience in:

Identity governance across human, privileged, machine, service, and AI-agent identities
Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and Policy-Based Access Control (PBAC)
Privileged Access Management (PAM) and Just-In-Time (JIT) access models
Security monitoring, audit logging, identity analytics, and anomaly detection
AI identity governance frameworks and control design
Risk assessment methodologies and security control mapping
Security policy development and governance documentation
Cross-functional collaboration across security, architecture, compliance, risk, and engineering teams

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More about this job

Responsibilities

Establish and operate governance and lifecycle controls for AI agents and other non-human identities, including ownership, access, approvals, reviews, and decommissioning. Assess risks, strengthen access controls and monitoring, support audits and compliance, and collaborate across security, IAM, AI engineering, privacy, legal, and risk teams.

Requirements

Requires 5 or more years of experience in information security, IAM, security governance, risk management, or a related field, with strong knowledge of IGA, PAM, access controls, non-human identities, and Zero Trust. Candidates should have experience with risk assessments, control evaluations, compliance or audit support, and communicating practical security recommendations; AI governance experience and relevant certifications are preferred.

Skills

Identity Governance And Administration
Privileged Access Management
Identity And Access Management
Non-Human Identity Governance
Access Lifecycle Management
Least-Privilege Access
Zero Trust
Risk Assessment
Security Controls
Role-Based Access Control
Policy-Based Access Control
Just-In-Time Access
Security Monitoring And Audit Logging
AI Governance
Threat Modeling

Visa sponsorship

Not detected in the job text

Keywords

Identity Governance And Administration
Privileged Access Management
Identity And Access Management
Non-Human Identities
AI Agents
Zero Trust
Least Privilege
Role-Based Access Control
Policy-Based Access Control
Just-In-Time Access
Risk Assessment
Security Controls
Access Certification
Audit Logging
Identity Analytics
Anomaly Detection
Threat Modeling
AI Governance
Responsible AI
Model Risk Management
SIEM
SOAR
API Security
Cloud Identity
CISSP
CISM
CISA
CCSP
CRISC

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