Remote Secure AI Systems Engineer

Bright-Vision-Technologies; United States; Remote; USD 150,000 - 170,000; Full time

Job summary

Bright Vision Technologies is seeking a Secure AI Systems Engineer to design and implement security controls, threat models, and incident response capabilities for AI/ML systems including LLMs and training data pipelines.

The ideal candidate has 6+ years of security engineering experience, strong cryptography and cloud security knowledge, and proficiency in Python and at least one systems language. This full-time role offers 100% remote work within the United States.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
• Six or more years of security engineering experience, including significant work on AI or ML systems.
• Strong understanding of LLM internals and 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.
• 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

• Lead the design and implementation of security controls for AI/ML systems.
• Develop threat models and incident response capabilities for AI infrastructure and applications.
• Address security challenges posed by LLMs, model APIs, and training data pipelines.

Skills

Security Engineering

AI/ML Security

Threat Modeling

Python

Systems Programming

Cloud Security

Communication

cryptography fundamentals

LLM internals

Education

Bachelor’s or Master’s degree in Computer Science or Cybersecurity

Job description

Bright Vision Technologies is seeking a Secure AI Systems Engineer to design and implement security controls, threat models, and incident response capabilities for AI/ML systems including LLMs and training data pipelines.

The ideal candidate has 6+ years of security engineering experience, strong cryptography and cloud security knowledge, and proficiency in Python and at least one systems language. This full-time role offers 100% remote work within the United States.