Privileged Access Engineer (PAM) with AI Capabilities

Tata Consultancy Services; Alpharetta (GA); On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Medical Coverage

Performance Bonus

Time Off Benefits

Job summary

Tata Consultancy Services is looking for a Privileged Access Engineer (PAM) with AI capabilities. The ideal candidate will oversee privileged access security while integrating AI and ML for enhanced threat detection. Key responsibilities include implementing PAM solutions like CyberArk, automating privileged access, and collaborating with security teams to drive innovation.

The role requires a Bachelor of Computer Science and offers a salary range of $120,000 – $130,000 annually, along with comprehensive employee benefits.

Qualifications

• Experience in designing and implementing PAM solutions.
• Proficiency in scripting languages such as Python and PowerShell.
• Knowledge of AI/ML models and cybersecurity principles.

Responsibilities

• Design, implement, and manage PAM solutions like CyberArk.
• Integrate PAM with IAM systems and security tools.
• Develop AI-driven models for threat detection.

Skills

AI and Machine Learning

CyberArk

Splunk

Python

Education

Bachelor of Computer Science

Tools

SailPoint

PowerShell

AWS

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

• 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
• 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 ID, 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 & DevSecOps
  • Develop scripts and automation workflows using Python, PowerShell, Bash
  • Integrate PAM into CI/CD pipelines (DevSecOps) 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

Qualifications

Bachelor of Computer Science

TCS Employee Benefits Summary

• 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