Remote AI Cybersecurity Engineer — ML/LLM Security

Bright Vision Technologies; Santa Clara (CA); On-site; USD 100,000 - 120,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Cybersecurity Engineer to design and implement security controls for AI/ML systems, including threat models, incident response, and defenses for LLMs and model APIs.

The role focuses on AI security across data pipelines and infrastructure, with hands-on experience in secure AI deployments and modern cloud controls. This is a remote U.S. position requiring 6+ years in security engineering.

Qualifications

• We require a bachelor's or master's degree in CS, Cybersecurity, or related field.
• Six or more years of security engineering experience, including AI/ML systems.
• Deep understanding of LLM internals and modern AI architectures.
• Hands-on security controls design for AI-powered apps.
• Knowledge of applications security, identity, and cryptography.
• Experience with threat modeling and security reviews.
• Familiarity with adversarial ML, prompt injection, 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 incident response capabilities for AI projects.
• Address AI security risks such as prompt injection and data exfiltration.
• Collaborate with product and engineering teams to build secure AI infrastructure.

Skills

Security engineering

AI/ML security

Threat modeling

LLM internals

Cryptography fundamentals

Cloud security

Python

Systems programming

Communication skills

Education

Bachelor

Master

Tools

Python

Job description

Bright Vision Technologies is seeking an AI Cybersecurity Engineer to design and implement security controls for AI/ML systems, including threat models, incident response, and defenses for LLMs and model APIs.

The role focuses on AI security across data pipelines and infrastructure, with hands-on experience in secure AI deployments and modern cloud controls. This is a remote U.S. position requiring 6+ years in security engineering.