Privileged Access Engineer (PAM) with AI Capabilities(101462-1)

Location: Alpharetta, GA - Need to work from office 3 Days a week and need to come office for Face2Face Round of Interview

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