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Privileged Access Engineer (PAM) with AIfreelance.ca • Montreal, Canada
Privileged Access Engineer (PAM) with AI

Privileged Access Engineer (PAM) with AI

freelance.ca • Montreal, Canada
11 days ago
Job type
  • Full-time
Job description
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.

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Privileged Access Engineer (PAM) with AI • Montreal, Canada

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