AI Security Engineer

Job Responsibilities

• Supply Chain Security/Model Scanner (SaaS self-hosted hybrid deployment)
  • Maintaining AZ's internal model scanning pipeline infrastructure and ensuring continued appropriate ingestion in compliance and governance systems (in the case of self-hosted deployment)
  • Monitoring container releases and updates
  • Reviewing output from the model scanner to ensure it is meeting requirements
  • Setting organizational policy around "acceptable" risk in model vulnerabilities and providing internal guidance and overrides where necessary
• AI Attack Simulation (SaaS-only)
  • Maintaining AIAS tasks that are implemented into application pipelines
  • Adding AIAS tasks to new applications or running on-demand attack simulations
  • Reviewing attack simulation results and determining application risk levels
  • Setting organizational policy around "acceptable" risk in applications and providing remediation guidance to application teams
• Runtime Security/AIDR (self-hosted hybrid deployment)
  • Maintaining the self-hosted HiddenLayer environment and ensuring availability for AZ applications (via the proposed AI/LLM Gateway)
  • Ensuring continued appropriate ingestion of runtime logs and results in SIEMs and SoRs
  • Monitoring container releases and updates
  • Setting organizational policy around runtime behavior (blocking vs alerting) in applications
  • Determining alerting thresholds and appropriate warning or escalation behavior for identified runtime misuse/attacks
  • Ensuring that new applications are appropriately protected by HL Runtime Security (via the proposed AI/LLM Gateway)

Pay

Schedule