Remote AI Security Engineer – LLM & ML Safeguards

Bright Vision Technologies; Highlands Ranch (CO); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Security Engineer to lead security controls for AI/ML systems, including safeguarding model endpoints, data pipelines, and training data governance. You will develop threat models, implement guardrails, and drive incident response for AI-specific threats in a fully remote U.S.

context. The ideal candidate has hands-on experience with LLM security, adversarial ML techniques, and cloud-based security architectures, along with strong Python and systems

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
• Six or more years of security engineering experience, including AI/ML systems.
• Strong understanding of LLM internals and modern AI architectures.
• 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 reviews.
• Familiarity with adversarial ML, prompt injection and model abuse research.
• Proficiency in Python and at least one systems language.
• Strong cloud security knowledge and 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 guardrails, content filters, and policy enforcement for model endpoints.
• Implement runtime detection and response for adversarial prompts.
• Secure training/fine-tuning pipelines with data provenance and access controls.
• Lead red-team exercises and drive remediation of weaknesses.
• Evaluate third-party AI services and open-source components.
• Implement identity, authorization, and tenant isolation for multi-tenant AI services.
• Drive supply chain security for ML artifacts like weights and datasets.
• Collaborate with privacy, legal, and compliance teams to meet regulatory obligations.
• Develop monitoring, logging, and detection for AI workloads.
• Lead incident response for AI-specific security events.
• Stay current with adversarial ML and AI security research.

Skills

AI/ML security

Threat modeling

Python

Systems programming

Cloud security

Security architecture

Communication

LLM internals

Identity & cryptography

Education

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

Tools

Python

Job description

Bright Vision Technologies is seeking an AI Security Engineer to lead security controls for AI/ML systems, including safeguarding model endpoints, data pipelines, and training data governance. You will develop threat models, implement guardrails, and drive incident response for AI-specific threats in a fully remote U.S.

context. The ideal candidate has hands-on experience with LLM security, adversarial ML techniques, and cloud-based security architectures, along with strong Python and systems