Job Title: Senior Manager, Gen AI Governance & Security
Experience: 4 –7 Years
This track focuses on the safety, compliance, and ethical deployment of Gen AI systems, safeguarding the enterprise against hallucinations, data leaks, and adversarial attacks.
Role Overview:
Define and operationalize the security posture and governance framework for all Gen AI initiatives. Act as the primary liaison between AI engineering and legal/compliance teams.
Key Responsibilities
Guardrail Architecture: Design and implement systemic safeguards (e.g., Ne Mo 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., Lang Smith, Arize).
Gen AI Skills: Deep knowledge of LLM vulnerabilities (OWASP Top 10 for LLMs), guardrail frameworks, and data sanitization techniques.
Soft Skills: Risk mitigation mindset, solid authoritative communication, ability to balance innovation with compliance.

📌 Senior manager, genai governance (Gurugram)
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