Remote AI Governance & Security Engineer

Bright-Vision-Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Governance Engineer to lead security controls, threat modeling, and incident response for AI and ML systems. This role focuses on safeguarding LLMs, model APIs, data pipelines, and AI-powered applications.

You will design defenses, contribute to secure cloud deployments, and collaborate with engineering teams. The ideal candidate has 6+ years in security engineering, strong cryptography knowledge, and hands-on Python and systems language experience.

Qualifications

• Bachelor’s or Master’s degree in CS, Cybersecurity, or related field.
• 6+ years in security engineering, with significant AI/ML systems work.
• Strong understanding of LLM internals and AI architectures.
• Hands-on security controls for AI-powered applications.
• Knowledge of cryptography, identity, and application security.
• Experience with threat modeling and security architecture reviews.
• Familiarity with adversarial ML, prompt injection, and model abuse.
• Proficiency in Python and at least one systems language.
• Strong cloud security and modern infrastructure controls.
• Excellent written and verbal communication.

Responsibilities

• Lead design and implementation of security controls for AI/ML systems.
• Develop threat models and drive security architecture reviews.
• Shape incident response capabilities for AI-powered applications and infra.
• Collaborate with engineering teams to secure cloud deployments.

Skills

Python

Systems programming

Cloud security

Threat modeling

AI/ML security

Communication

Education

Bachelor's or Master's degree in CS/Cybersecurity

Job description

Bright Vision Technologies is seeking an AI Governance Engineer to lead security controls, threat modeling, and incident response for AI and ML systems. This role focuses on safeguarding LLMs, model APIs, data pipelines, and AI-powered applications.

You will design defenses, contribute to secure cloud deployments, and collaborate with engineering teams. The ideal candidate has 6+ years in security engineering, strong cryptography knowledge, and hands-on Python and systems language experience.