What are the responsibilities and job description for the Privileged Access Engineer (PAM) with AI Capabilities position at Galaxy i Technologies, Inc.?
Privileged Access Engineer (PAM) with AI Capabilities
Contract
Alpharetta, GA
Job Description:
Privileged Access Engineer (PAM) with AI Capabilities – Job Description
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
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
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
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, Google Cloud Platform)
Work with:
APIs, REST services, JSON
Data pipelines for feeding security analytics platforms
Build AI-ready datasets from logs and access activity
Integrate PAM with:
IAM systems (Entra ID, Okta, SailPoint)
Security tools (SIEM, SOAR, EDR/XDR)
Cloud platforms (AWS, Azure, Google Cloud Platform)
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
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
Skills: Cyber Security~Cyber Security - IAM Professional Services
Experience Required: 8-10
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Salary : $50 - $52