Enter a job title or keyword
Privileged Access Engineer (PAM) Consultant AIML
Job Location:
Monthly Salary:
Experience Required:
Posted:
7 July 2026 (30+ days ago)
Posted:
Application Deadline:
4 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role: Privileged Access Engineer (PAM) with AI Capabilities
Location: Montreal
Hybrid: 3 days a week in office
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
Required Skills:
60-70
Required Education:
Backend Engineer Kotlin Microservices & AKSRole Overview:We are seeking a highly skilled backend developer with strong experience in modern programming languages and frameworks with primary expertise in Kotlin and exposure to Java microservices and cloud Skills:Proficiency in Kotlin with additional experience in Java (Spring Boot Spring Security) and JavaScript () 5 years of backend development experience including: oUnit testing frameworks (e.g.
