Remote AI Security & Governance Engineer

Bright Vision Technologies; Sterling (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies in the United States is seeking an AI Governance Engineer to lead the design and implementation of security controls for AI/ML systems. This remote role requires deep knowledge of LLMs, prompt injection risks, and secure AI infrastructure.

The candidate will develop threat models, establish incident response capabilities, and collaborate across engineering teams to mitigate AI-specific security threats.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related discipline.
• Six or more years of security engineering experience, including significant work on AI or ML systems.
• Strong understanding of LLM internals, modern AI architectures, and common failure modes.
• 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 review processes
• 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 incident response capabilities for AI infrastructures.
• Address security challenges posed by LLMs, model APIs, and data pipelines.

Skills

Python

Systems language

Threat modeling

Cloud security

Cryptography

AI/ML security

LLM internals

Security architecture

Incident response

Education

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field

Job description

Bright Vision Technologies in the United States is seeking an AI Governance Engineer to lead the design and implementation of security controls for AI/ML systems. This remote role requires deep knowledge of LLMs, prompt injection risks, and secure AI infrastructure.

The candidate will develop threat models, establish incident response capabilities, and collaborate across engineering teams to mitigate AI-specific security threats.