Remote AI Security Engineer — Guard ML Systems

Bright Vision Technologies; Santa Clara (CA); On-site; 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, threat models, and incident response capabilities for AI and ML systems. The role addresses security challenges in LLMs, model APIs, training data pipelines, and AI-powered applications.

The ideal candidate offers strong security engineering fundamentals, deep understanding of modern AI architectures, and hands-on experience defending AI-powered platforms and their

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.

Responsibilities

• Lead design and implementation of security controls for AI/ML systems.
• Develop threat models and incident response capabilities.
• Address prompt injection, model abuse, data exfiltration risks.
• Ensure security for AI-powered applications and infrastructure.

Skills

Security engineering

AI/ML security

LLM internals

Python

Systems programming

Threat modeling

Cloud security

Crypto fundamentals

Communication

Education

Bachelor’s or Master’s in CS/Cybersecurity

Job description

Bright Vision Technologies is seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities for AI and ML systems. The role addresses security challenges in LLMs, model APIs, training data pipelines, and AI-powered applications.

The ideal candidate offers strong security engineering fundamentals, deep understanding of modern AI architectures, and hands-on experience defending AI-powered platforms and their