AI Security Risk Engineer — Remote

Bright-Vision-Technologies

United States

Remote

USD 100,000 - 150,000

Full time

14 days+

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Job summary

Bright Vision Technologies seeks an AI Risk Engineer to design and implement security controls for AI and ML systems. The ideal candidate will have expertise in AI security, threat modeling, LLM protection, cloud security, and incident response, with experience securing AI-powered applications and infrastructure.

The role focuses on building threat models, implementing guardrails, monitoring, logging, and incident response for AI systems, and securing training pipelines, APIs, and multi-tenant

Qualifications

  • 6+ years of security engineering experience, including AI or ML systems.
  • Strong knowledge of LLM security, application security, cloud security, and threat modeling.
  • Experience with AI security controls, adversarial ML, prompt injection, and Python.

Responsibilities

  • Design and implement security controls for AI and LLM-based applications.
  • Build threat models and mitigate risks such as prompt injection, model abuse, and data exfiltration.
  • Implement guardrails, monitoring, logging, and incident response for AI systems.
  • Secure AI training pipelines, APIs, and multi-tenant environments.
  • Collaborate with security, privacy, and compliance teams to strengthen AI security posture.
  • Conduct AI security assessments and drive remediation of identified risks.

Skills

Security engineering experience
Threat modeling
AI security

Tools

Python
LLM security tools

Job description

Bright Vision Technologies seeks an AI Risk Engineer to design and implement security controls for AI and ML systems. The ideal candidate will have expertise in AI security, threat modeling, LLM protection, cloud security, and incident response, with experience securing AI-powered applications and infrastructure.

The role focuses on building threat models, implementing guardrails, monitoring, logging, and incident response for AI systems, and securing training pipelines, APIs, and multi-tenant

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