Privileged Access Engineer (PAM) with AI

Role: Privileged Access Engineer (PAM) with AI Location: Montreal, QC Duration: long Term Contract Job Description: Role Overview The Privileged Access Engineer (PAM) with AI Capabilities is responsible for securing privileged access across enterprise systems by implementing advanced PAM solutions while leveraging Artificial Intelligence (AI) and Machine Learning (ML) to enhance threat detection, automation, and decision-making. This role blends cybersecurity engineering with AI-driven analytics to proactively identify risks, automate privileged access controls, and enable adaptive security frameworks. Key Responsibilities 1. PAM Engineering & Implementation Design, implement, and manage PAM solutions: CyberArk, BeyondTrust, Delinea, HashiCorp Vault Configure: Privileged account onboarding and lifecycle management Password vaulting, rotation, and credential management Privileged Session Management (PSM) Implement Just-In-Time (JIT) and Just-Enough-Access (JEA) models 2. AI-Driven Security & Automation Develop and integrate AI/ML models to: Detect anomalous privileged access behavior Identify insider threats and suspicious activity Predict and prevent access misuse Use AI for: Behavioral analytics (UEBA – User & Entity Behavior Analytics) Risk-based authentication and access decisions Implement intelligent automation for: Privileged account onboarding/offboarding Access approvals and policy enforcement 3. Advanced Monitoring & Threat Detection Leverage AI-enabled SIEM tools (e.g., Splunk, Microsoft Sentinel) for: Real-time monitoring of privileged sessions Automated alert prioritization Implement: Session recording and playback AI-driven anomaly detection and alert tuning Support incident response and forensic investigations 4. Integration & Data Engineering Integrate PAM with: IAM systems (Entra ID, Okta, SailPoint) Security tools (SIEM, SOAR, EDR/XDR) Cloud platforms (AWS, Azure, GCP) Work with: APIs, REST services, JSON Data pipelines for feeding security analytics platforms Build AI-ready datasets from logs and access activity 5. Governance, Risk & Compliance Enforce: Least privilege access Zero Trust principles Support compliance with: SOX, GDPR, PCI-DSS, ISO 27001 Generate AI-assisted compliance reports and audit insights Contribute to policy definition and governance frameworks 6. Automation & DevSecOps Develop scripts and automation workflows using: Python, PowerShell, Bash Integrate PAM into: CI/CD pipelines (DevSecOps) Implement AI-assisted remediation workflows using SOAR tools 7. Collaboration & Innovation Partner with: Security operations (SOC) teams Data science / AI teams IAM architects and cloud engineers Evaluate emerging AI-driven security tools Drive innovation in Intelligent Identity Security and Autonomous Access Management

The role focuses on implementing and managing advanced PAM solutions while integrating AI and Machine Learning to enhance threat detection and automation. Responsibilities include managing privileged account lifecycles and developing behavioral analytics to identify insider threats.

Candidates must have expertise in PAM tools like CyberArk and HashiCorp Vault, along with proficiency in Python and PowerShell for automation. Experience with AI-driven security analytics and cloud platforms such as AWS, Azure, or GCP is required.

Identified from the job description. Confirm important requirements above.

• PAM Engineering
• AI/ML Integration
• CyberArk
• BeyondTrust
• Delinea
• HashiCorp Vault
• UEBA
• SIEM
• Python
• PowerShell
• Zero Trust
• Identity and Access Management
• DevSecOps
• Cloud Security
• Risk-Based Authentication
• API Integration

Minimum experience

5+ years

Apply by

Aug 26, 2026