Remote Secure AI Systems Engineer

Bright Vision Technologies; Round Rock (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 and ML systems, including threat modeling and incident response. The role emphasizes safeguarding AI infrastructure and applications against evolving threats.

The position requires hands-on security experience, knowledge of LLMs, cryptography, and cloud security, with strong communication skills to collaborate across teams. Remote work in the U.S. is supported.

Qualifications

• : Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
• : Six+ years of security engineering experience, including work on AI/ML systems.
• : Strong understanding of LLM internals and modern AI architectures.
• : 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 reviews.
• : Familiarity with adversarial ML, prompt injection, and model abuse research.
• : Proficiency in Python and at least one systems language.
• : Strong 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 risks such as prompt injection, data exfiltration, and model abuse.
• Collaborate with engineering teams to strengthen security across APIs and data pipelines.

Skills

Security engineering

AI/ML security

Threat modeling

Python

Systems programming

Cloud security

Cryptography

Communication

LLM internals

Adversarial ML

Education

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

Job description

Bright Vision Technologies is seeking a Secure AI Systems Engineer to lead the design and implementation of security controls for AI and ML systems, including threat modeling and incident response. The role emphasizes safeguarding AI infrastructure and applications against evolving threats.

The position requires hands-on security experience, knowledge of LLMs, cryptography, and cloud security, with strong communication skills to collaborate across teams. Remote work in the U.S. is supported.