Role: Engineer
Required Skills: Artificial intelligence
Experience: 8 - 15 Years
Function: TECHNOLOGY
Apply By: 2026-12-14
Data Loss Prevention (DLP) Engineer - AI Platforms
Must Have Technical/Functional Skills
- 8+ years of experience in Data Loss Prevention (DLP), Data Security, Information Protection, or Cyber Security.
- Hands-on expertise in Microsoft Purview DLP, Information Protection, Sensitivity Labels, and Insider Risk Management.
- Experience securing AI/GenAI platforms including Microsoft Copilot, Azure OpenAI, Amazon Bedrock, Claude, ChatGPT Enterprise, and custom AI applications.
- Strong understanding of Data Governance, Data Classification, Data Discovery, and Data Protection frameworks.
Experience implementing DLP controls across:
- Cloud applications
- Endpoints
- Email
- Collaboration platforms
- AI platforms and LLM environments
Knowledge of DSPM (Data Security Posture Management), CASB, UEBA, and Insider Threat Management.
Experience with DLP technologies such as:
- Microsoft Purview
- Defender for Cloud Apps (MDCA)
- Symantec DLP
- Forcepoint DLP
- Netskope
- Zscaler
- Proofpoint
Understanding of AI-related security risks including:
- Shadow AI
- Sensitive data leakage
- Prompt injection risks
- Unauthorized AI usage
- Data exfiltration
Experience integrating DLP with SIEM/SOAR platforms such as Microsoft Sentinel or Splunk.
Knowledge of cloud security (Azure/AWS) and API-based security controls.
Familiarity with regulatory requirements including GDPR, CCPA, PCI-DSS, HIPAA, and privacy regulations.
Roles & Responsibilities
- Design, implement, and manage Data Loss Prevention controls for enterprise AI and GenAI platforms.
- Develop and maintain DLP policies to protect sensitive data used by AI applications and LLM services.
- Monitor and prevent data leakage across AI platforms, cloud environments, endpoints, email, and collaboration tools.
- Identify and remediate Shadow AI usage and unauthorized AI services within the enterprise.
- Configure and optimize data classification, sensitivity labeling, and information protection controls.
- Perform continuous monitoring and investigation of DLP alerts, insider threats, and suspicious data movement activities.
- Collaborate with Security, Data Governa nce, Risk, Privacy, and Compliance teams to enforce AI security policies.
- Integrate DLP controls with SIEM, UEBA, Insider Risk, and threat monitoring platforms.
- Conduct risk assessments for AI applications and GenAI adoption initiatives.
- Tune DLP rules to reduce false positives and improve detection accuracy.
- Support security incident response activities involving AI-related data exposure or exfiltration attempts.
- Develop dashboards, metrics, and executive reporting on AI data protection posture.
- Stay current with emerging AI security threats, governance requirements, and industry best practices.
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, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
- Salary Range- $90,000-$100,000 a year