Remote AI Governance & Security Engineer

Bright Vision Technologies

United States

Remote

USD 100,000 - 150,000

Full time

9 days ago

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Job summary

Bright Vision Technologies is seeking an AI Governance Engineer to lead the design and implementation of security controls for AI/ML systems, including LLMs, model APIs, data pipelines, and security defenses against prompt injection and data exfiltration. This fully remote US role emphasizes hands-on security engineering and threat modeling.

The ideal candidate has 6+ years in security, strong cryptography and cloud security knowledge, and proficiency in Python with a CS/cybersecurity degree.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field.
  • Six or more years of security engineering experience, including AI/ML systems.
  • Strong understanding of LLM internals and modern AI architectures.
  • Hands-on experience designing security controls for AI-powered applications.
  • Deep knowledge of application security, identity, and cryptography fundamentals.
  • Experience with threat modeling and security architecture reviews.
  • Familiarity with adversarial ML, prompt injection, and model abuse research.
  • Proficiency in Python and at least one systems language.
  • Strong understanding of cloud security and modern infrastructure controls.
  • Excellent written and verbal communication skills.

Responsibilities

  • Lead design and implementation of security controls for AI/ML systems.
  • Develop threat models and conduct security architecture reviews.
  • Address risks from LLMs, model APIs, and data pipelines; implement defenses.

Skills

Security engineering
AI/ML security
Threat modeling
Python
Cryptography fundamentals
Cloud security
Communication skills

Education

Bachelor’s or Master’s degree in CS or Cybersecurity

Tools

Python

Job description

Bright Vision Technologies is seeking an AI Governance Engineer to lead the design and implementation of security controls for AI/ML systems, including LLMs, model APIs, data pipelines, and security defenses against prompt injection and data exfiltration. This fully remote US role emphasizes hands-on security engineering and threat modeling.

The ideal candidate has 6+ years in security, strong cryptography and cloud security knowledge, and proficiency in Python with a CS/cybersecurity degree.

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