AI Risk & Security Engineer — Remote

Bright Vision Technologies; Concord (NC); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Risk Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities for AI and ML systems, including LLMs, model APIs, and training pipelines.

This remote, full-time role requires strong security fundamentals, experience with adversarial ML, and collaboration with privacy, legal, and compliance teams to meet regulatory obligations.

Qualifications

• 6+ years of security engineering experience in 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 review processes.
• Proficiency in Python and at least one systems language.

Responsibilities

• Define security controls for LLM and AI-powered risks.
• Build threat models for AI systems including prompt injection and data exfiltration.
• Design guardrails and policy enforcement around model endpoints.
• Implement runtime detection and response for adversarial prompts.
• Secure training and fine-tuning pipelines including data provenance and access controls.
• Lead red-team exercises against AI systems and drive remediation.
• Collaborate with privacy, legal and compliance teams to meet regulatory obligations.
• Develop monitoring, logging and detection strategies for AI workloads.
• Lead incident response for AI security events and drive improvements.

Skills

Security engineering

AI/ML security

Python

Cryptography fundamentals

Threat modeling

Communication skills

Cloud security

Education

Bachelor's or Master's degree in Computer Science, Cybersecurity or related discipline

Job description

Bright Vision Technologies is seeking an AI Risk Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities for AI and ML systems, including LLMs, model APIs, and training pipelines.

This remote, full-time role requires strong security fundamentals, experience with adversarial ML, and collaboration with privacy, legal, and compliance teams to meet regulatory obligations.