Senior Manager, GenAI Governance & Security

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

Job summary

EXL is seeking a Senior Manager for GenAI Governance & Security in Gurugram to lead the security posture and governance framework for GenAI initiatives. You will coordinate between AI engineering and legal/compliance teams to ensure safe deployment.

Responsibilities include building guardrails, aligning with GDPR/AI Act, conducting red-team exercises, and creating dashboards to monitor model health and bias. Strong leadership and technical expertise are essential.

Qualifications

• Experience in GenAI governance/security is preferred.
• Familiarity with data privacy regulations and risk management.
• Strong communication and leadership skills.

Responsibilities

• Guardrail Architecture: design and implement safeguards to prevent prompt injection, data leakage and adversarial prompts.
• Compliance Strategy: align GenAI deployments with internal policies and global regulations (GDPR, AI Act).
• Risk Assessment: conduct red-teaming and vulnerability testing on enterprise LLMs and RAG systems.
• Monitoring Systems: build observability dashboards to track hallucinations, toxicity and bias in production models.

Job description

Job Title

Senior Manager, GenAI Governance & Security

Experience

4 –7 Years

This track focuses on the safety, compliance, and ethical deployment of GenAI systems, safeguarding the enterprise against hallucinations, data leaks, and adversarial attacks.

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.

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.

Required Skills

• 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.