Remote AI Security Engineer - Threat Modeling & Defenses

Bright Vision Technologies; Alpharetta (GA); Remote; USD 100,000 - 150,000; Full time

Job summary

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

The ideal candidate will have hands-on experience defending AI-focused infrastructure, strong security fundamentals, and the ability to collaborate with cross-functional teams while working remotely within the continental United

Qualifications

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

Responsibilities

• Define and implement security controls targeting LLM and AI-powered risks.
• Build threat models for AI systems, including prompt injection and data exfiltration.
• Design and deploy guardrails, content filters, and policy enforcement around model endpoints.
• Implement runtime detection and response for adversarial prompts and abuse.
• Secure training/fine-tuning pipelines with data provenance and access controls.
• Lead red-team exercises against AI systems and drive remediation.
• Harden third-party AI services and open-source components used internally.
• Implement identity, authorization, and tenant isolation for multi-tenant AI services.
• Drive supply chain security for ML artifacts (weights, datasets, deps).
• 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-specific security events and improvements.
• Stay current with adversarial ML, LLM security research, and regulatory developments.

Skills

Security engineering

Threat modeling

LLM security

Cloud security

Python

Communication

Education

Bachelor’s or Master’s in CS/Cybersecurity

Tools

Python (programming)

Cloud platforms (AWS/GCP/Azure)

Job description

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

The ideal candidate will have hands-on experience defending AI-focused infrastructure, strong security fundamentals, and the ability to collaborate with cross-functional teams while working remotely within the continental United