Remote AI Security Engineer – AI/ML Protection Lead

Bright Vision Technologies; Folsom (CA); Remote; USD 80,000 - 105,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Security Engineer to design and implement security controls for AI/ML systems, focusing on prompt injection, model abuse, data exfiltration, and supply chain risks. You will work on AI-powered applications and the supporting infrastructure to harden security across the stack.

The ideal candidate has 6+ years of security engineering experience, a CS or cybersecurity degree, strong Python and cryptography knowledge, and a deep understanding of cloud

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
• Six+ years of security engineering experience, with substantial AI/ML work.
• Strong knowledge of LLM internals and modern AI architectures.
• Hands-on security controls design for AI-powered apps.
• Deep knowledge of application security, identity, and cryptography fundamentals.
• Experience with threat modeling and security architecture reviews.

Responsibilities

• Lead design and implementation of security controls for AI/ML systems.
• Develop threat models and incident response capabilities for AI environments.
• Address prompt injection, model abuse, data exfiltration and supply chain risks.

Skills

Security engineering

AI security

LLM internals

Python

Systems programming

Threat modeling

Cryptography

Cloud security

Communication skills

Education

Bachelor's or Master's in CS/Cybersecurity

Job description

Bright Vision Technologies is seeking an AI Security Engineer to design and implement security controls for AI/ML systems, focusing on prompt injection, model abuse, data exfiltration, and supply chain risks. You will work on AI-powered applications and the supporting infrastructure to harden security across the stack.

The ideal candidate has 6+ years of security engineering experience, a CS or cybersecurity degree, strong Python and cryptography knowledge, and a deep understanding of cloud