Senior Manager, GenAI Governance & Security

EXL Talent Acquisition Team; Gurugram District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EXL is seeking a Senior Manager for GenAI Governance and Security to define and operationalize the security posture across all GenAI initiatives. You will coordinate between AI engineering and legal/compliance teams to ensure robust governance.

You will lead guardrail design, policy alignment with global regulations, and risk assessments of enterprise LLMs, with an emphasis on observability and bias control in production systems.

Qualifications

• Bachelor’s or Master’s in Cybersecurity, CS, or IT.
• 4–7 years in InfoSec, Data Governance, or AI Ethics roles.
• Knowledge of governance frameworks and data privacy.
• GenAI security risks and guardrails expertise.

Responsibilities

• Guardrail Architecture: Design and implement safeguards to prevent prompt injection, jailbreaks, and PII leakage.
• Compliance Strategy: Align AI deployments with data privacy policies and global regulations.
• Risk Assessment: Lead red-teaming and vulnerability assessments on enterprise LLMs and RAG systems.
• Monitoring Systems: Build observability dashboards to track hallucinations, toxicity, and bias in production models.

Skills

LLM vulnerabilities

Guardrail frameworks

Data sanitization

Risk mitigation

Authoritative communication

Education

Bachelor’s/Master’s in Cybersecurity, CS, or IT

Tools

LangSmith

Arize

Python for automation

SIEM integrations

Job description

Senior Manager, GenAI Governance & Security

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Job Info

• Job Identification 14043
• Posting Date 06/14/2026, 09:48 AM
• Job Role Application Development-Applications Development Engineering
• Experience (In Years) 6-9

Job Description

Role Overview: Define and operationalize the security posture and governance framework for all
GenAI initiatives. Act as the primary liaison between AI engineering and legal/compliance teams.

Responsibilities

Key Responsibilities

• Guardrail Architecture: Design and implement systemic safeguards (e.g., NeMo Guardrails,
  Llama Guard) to prevent prompt injection, jailbreaks, and PII leakage.
• Compliance Strategy: Align AI deployments with internal data privacy policies and emerging
  global regulations (e.g., EU AI Act, GDPR).
• Risk Assessment: Lead red-teaming exercises and vulnerability assessments on enterprise
  LLMs and RAG systems.
• Monitoring Systems: Establish comprehensive observability dashboards to track hallucination
  rates, toxicity, and bias in production models.

Qualifications

• Tech Stack: Security testing tools, SIEM integrations, Python for automation, LLM observability
  platforms (e.g., LangSmith, Arize).
• GenAI Skills: Deep knowledge of LLM vulnerabilities (OWASP Top 10 for LLMs), guardrail
  frameworks, and data sanitization techniques.
• Soft Skills: Risk mitigation mindset, strong authoritative communication, ability to balance
  innovation with compliance.
• Qualifications: Bachelor’s/Master’s in Cybersecurity, CS, or IT; 4–7 years in InfoSec, Data
  Governance, or AI Ethics roles.