Remote AI Security & Governance Engineer

Bright Vision Technologies; United States; Remote; USD 100.000 - 150.000; Vollzeit

Zusammenfassung

Bright Vision Technologies is seeking an AI Governance Engineer to design and implement security controls for AI/ML systems. The role focuses on mitigating risks in model APIs, training data pipelines, and AI-powered applications, including prompt injection and data exfiltration.

The ideal candidate has deep AI security knowledge, hands-on experience with threat modeling, cryptography, and cloud security, and can communicate complex topics effectively across teams.

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related discipline.
• 6+ years of security engineering experience, including AI/ML systems.
• Strong understanding of LLM internals and AI architectures.
• Hands-on security controls design for AI-powered apps.
• Deep knowledge of cryptography, identity, and application security.
• Experience with threat modeling and security architecture reviews.
• Familiarity with adversarial ML, prompt injection, and model abuse.
• Proficiency in Python and at least one systems language.
• Strong cloud security knowledge and infra controls.
• Excellent written and verbal communication.

Aufgaben

• Lead design and implementation of security controls for AI/ML systems.
• Develop threat models and incident response playbooks.
• Evaluate and secure AI model APIs, data pipelines, and training data.
• Collaborate with product and engineering teams to reduce risk.
• Stay current on AI security research and tooling.

Kenntnisse

Security engineering

AI security

Ausbildung

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

Tools

Python

Cloud security tooling

Jobbeschreibung

Bright Vision Technologies is seeking an AI Governance Engineer to design and implement security controls for AI/ML systems. The role focuses on mitigating risks in model APIs, training data pipelines, and AI-powered applications, including prompt injection and data exfiltration.

The ideal candidate has deep AI security knowledge, hands-on experience with threat modeling, cryptography, and cloud security, and can communicate complex topics effectively across teams.