Privileged Access Engineer (PAM) – AI Security, IAM & Automation

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

• 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) 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

Use AI for

• Behavioral analytics (UEBA – User and Entity Behavior Analytics)
• Risk-based authentication and access decisions

Implement intelligent automation for

• Privileged account onboarding and offboarding
• Access approvals
• Policy enforcement

Advanced Monitoring & Threat Detection

Leverage AI-enabled SIEM tools, including

• Splunk
• Microsoft Sentinel

Perform

• Real-time monitoring of privileged sessions
• Automated alert prioritization

Implement

• Session recording and playback
• AI-driven anomaly detection
• Alert tuning
• Support incident response and forensic investigations.

Integration & Data Engineering

Integrate PAM solutions with

IAM systems

• Entra ID
• Okta
• SailPoint

Security tools

• SIEM
• SOAR
• EDR/XDR

Cloud platforms

• AWS
• Azure
• GCP

Work with

• APIs
• REST services
• JSON
• Develop data pipelines for security analytics platforms.
• Build AI-ready datasets from logs and privileged access activity.

Governance, Risk & Compliance

Enforce

• Least privilege access
• Zero Trust principles

Support compliance requirements, including

• SOX
• GDPR
• PCI-DSS
• ISO 27001
• Generate AI-assisted compliance reports and audit insights.
• Contribute to security policy definition and governance frameworks.

Automation & DevSecOps

Develop scripts and automation workflows using

• Python
• PowerShell
• Bash
• Integrate PAM solutions into CI/CD pipelines and DevSecOps processes.
• Implement AI-assisted remediation workflows using SOAR tools.

Collaboration & Innovation

Collaborate with

• Security Operations Center (SOC) teams
• Data Science and AI teams
• IAM Architects
• Cloud Engineers
• Evaluate emerging AI-driven security tools.
• Drive innovation in Intelligent Identity Security and Autonomous Access Management.