DescriptionRole 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.
ResponsibilitiesKey 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.