Privileged Access Engineer; PAM AI Capabilities

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.

• PAM Engineering & Implementation
  • Design, implement, and manage PAM solutions:
    Cyber Ark, Beyond Trust, Delinea, Hashi Corp 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
• AI‑Driven Security & Automation
  • Develop and integrate AI/ML models to detect anomalous privileged access behavior, identify insider threats and suspicious activity, and predict and prevent access misuse
  • Use AI for behavioral analytics (UEBA – User & Entity Behavior Analytics) and risk‑based authentication and access decisions
  • Implement intelligent automation for privileged account onboarding/offboarding, access approvals, and policy enforcement
• Advanced Monitoring & Threat Detection
  • Leverage AI‑enabled SIEM tools (e.g., Splunk, Microsoft Sentinel) for real‑time monitoring of privileged sessions and automated alert prioritization
  • Session recording and playback with AI‑driven anomaly detection and alert tuning
  • Support incident response and forensic investigations
• Integration & Data Engineering
  • Integrate PAM with IAM systems (Entra , Okta, SailPoint), security tools (SIEM, SOAR, EDR/XDR), and cloud platforms (AWS, Azure, GCP)
  • Work with APIs, REST services, JSON to build data pipelines for feeding security analytics platforms and to create AI‑ready datasets from logs and access activity
• 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
• Automation & Dev Sec Ops
  • Develop scripts and automation workflows using Python, Power Shell, Bash
  • Integrate PAM into CI/CD pipelines (Dev Sec Ops ) and implement AI‑assisted remediation workflows using SOAR tools
• Collaboration & Innovation
  • Partner with SOC teams, data science/AI teams, IAM architects, and cloud engineers
  • Evaluate emerging AI‑driven security tools and drive innovation in Intelligent Identity Security and Autonomous Access Management

Bachelor of Computer Science

• Discretionary Annual Incentive
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support:
  Maternal & Parental Leaves
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance:
  Legal Assistance, 401(k) Plan, Performance Bonus, College Fund, Student Loan Refinancing
• Salary Range: $120,000 – $130,000 a year