Remote Lead Secure AI Systems Engineer

Bright Vision Technologies; Euless, Bedford (TX, TX); On-site; USD 150,000 - 170,000; Full time

Job summary

Bright Vision Technologies is seeking a Secure AI Systems Engineer to lead the design and implementation of security controls for AI/ML systems, including threat modeling and incident response capabilities. The role focuses on addressing challenges in LLMs, model APIs, data pipelines, and supply chain risks.

The ideal candidate has 6+ years in security engineering, with hands-on experience securing AI-powered applications and AI infrastructure, and strong Python and systems language skills.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
• 6+ years of security engineering experience, with AI/ML focus.
• Strong understanding of LLM internals and modern AI architectures.
• Hands-on security controls design for AI-powered apps.
• Knowledge of application security, identity, and cryptography fundamentals.
• Experience with threat modeling and security architecture reviews.
• Familiarity with adversarial ML, prompt injection, and model abuse research.
• Proficiency in Python and at least one systems language.
• 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 infrastructure.
• Address security challenges in LLMs, model APIs, and data pipelines.
• Collaborate with engineering teams to integrate security into AI products.

Skills

Python

Systems language

Education

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

Tools

Threat modeling frameworks

Job description

Bright Vision Technologies is seeking a Secure AI Systems Engineer to lead the design and implementation of security controls for AI/ML systems, including threat modeling and incident response capabilities. The role focuses on addressing challenges in LLMs, model APIs, data pipelines, and supply chain risks.

The ideal candidate has 6+ years in security engineering, with hands-on experience securing AI-powered applications and AI infrastructure, and strong Python and systems language skills.