Remote ML Security Engineer – AI Threat & Defense Lead

Bright Vision Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Security Engineer to lead design and implementation of security controls, threat models, and incident response for ML systems, including LLMs, data pipelines, and AI-powered apps. Remote work in the U.S.

is supported, with full-time, Direct W2 employment. The ideal candidate brings 6+ years in security engineering, deep knowledge of AI architectures, strong Python skills, and experience building defenses for AI infrastructure and applications, plus

Qualifications

• Six+ years of security engineering experience, including significant work on AI or ML systems.
• Strong understanding of LLM internals, modern AI architectures, and failure modes.
• Hands-on experience designing security controls for AI-powered applications.
• Proficiency in Python and at least one systems language.

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.
• Lead red-team exercises against AI systems and drive remediation of weaknesses.

Skills

Python

Systems programming

Threat modeling

LLM internals

Cloud security

Education

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

Tools

Cloud security tooling

Job description

Bright Vision Technologies is seeking an AI Security Engineer to lead design and implementation of security controls, threat models, and incident response for ML systems, including LLMs, data pipelines, and AI-powered apps. Remote work in the U.S.

is supported, with full-time, Direct W2 employment. The ideal candidate brings 6+ years in security engineering, deep knowledge of AI architectures, strong Python skills, and experience building defenses for AI infrastructure and applications, plus