Privileged Access Engineer – AI Security, IAM & Automation
Role Overview
- Responsible for securing privileged access across enterprise systems by implementing advanced Privileged Access Management (PAM) solutions while leveraging Artificial Intelligence (AI) and Machine Learning (ML) to enhance threat detection, automation, and decision-making.
- Combine cybersecurity engineering with AI-driven analytics to identify risks, automate privileged access controls, and enable adaptive security frameworks.
Key Responsibilities
PAM Engineering & Implementation
- Design, implement, and manage PAM solutions, including:
- Privileged account onboarding and lifecycle management
- Password vaulting, rotation, and credential management
- Privileged Session Management (PSM)
- Just-In-Time (JIT) access models
- Just-Enough-Access (JEA) models
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
- Behavioral analytics (UEBA – User and Entity Behavior Analytics)
- Risk-based authentication and access decisions
- Implement intelligent automation for:
- Privileged account onboarding and offboarding
Advanced Monitoring & Threat Detection
- Leverage AI-enabled SIEM tools, including:
- Real-time monitoring of privileged sessions
- Automated alert prioritization
- Session recording and playback
- AI-driven anomaly detection
- Support incident response and forensic investigations.
Integration & Data Engineering
- Integrate PAM solutions with:
- Develop data pipelines for security analytics platforms.
- Build AI-ready datasets from logs and privileged access activity.
Governance, Risk & Compliance
- Support compliance requirements, including:
- Generate AI-assisted compliance reports and audit insights.
- Contribute to security policy definition and governance frameworks.
Automation & DevSecOps
- Develop scripts and automation workflows using:
- Integrate PAM solutions into CI/CD pipelines and DevSecOps processes.
- Implement AI-assisted remediation workflows using SOAR tools.
Collaboration & Innovation
- Security Operations Center (SOC) teams
- Data Science and AI teams
- Evaluate emerging AI-driven security tools.
- Drive innovation in Intelligent Identity Security and Autonomous Access Management.
