AI Security & Risk Engineer

Manage risks associated with AI systems, especially in regulated telco environments.

Key Responsibilities

  • Implement controls for:
    • Prompt injection, abuse, hallucinations
    • Bias and fairness risks
  • Secure model runtime, access, APIs
  • Ensure auditability and explainability
  • Align with regulatory frameworks (POPIA, GDPR equivalents)
Conduct model risk assessments and approvals

Requirements

  • Cybersecurity (IAM, encryption, zero trust)
  • AI risk frameworks (TRiSM, model governance)
  • Knowledge of regulatory compliance
  • Threat modelling for AI systems


Benefits

  • Security incidents
  • Audit compliance scores
  • Risk mitigation effectiveness


See also

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