Remote AI Security Engineer: LLM & Threat Modeling Lead

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

Job summary

Bright Vision Technologies is seeking an AI Security Engineer to lead the design and implementation of security controls for AI/ML systems, including threat modeling and incident response capabilities, with focused attention on LLMs, model APIs, data pipelines, and related risks.

This role emphasizes practical defense design for AI-powered applications and supporting AI infrastructure, with strong emphasis on security fundamentals.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a 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 environments.
• Address prompt injection, model abuse, data exfiltration, and supply chain risks.

Skills

Security engineering

Threat modeling

AI security

Cloud security

Python

Communication

Cryptography fundamentals

Education

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

Tools

Python

Job description

Bright Vision Technologies is seeking an AI Security Engineer to lead the design and implementation of security controls for AI/ML systems, including threat modeling and incident response capabilities, with focused attention on LLMs, model APIs, data pipelines, and related risks.

This role emphasizes practical defense design for AI-powered applications and supporting AI infrastructure, with strong emphasis on security fundamentals.