Remote AI Security Engineer - Secure ML Systems

Triwill Group; United States; Remote; USD 150,000 - 170,000; Full time

Job summary

Bright Vision Technologies is seeking a Secure AI Systems Engineer to lead security controls for AI/ML systems across cloud environments. The role focuses on defending AI-powered applications and infrastructure, including LLMs and data pipelines.

The ideal candidate has 6+ years in security engineering, deep knowledge of AI security, and strong Python plus systems language skills. This remote U.S. role emphasizes robust security design and incident response for AI platforms.

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, modern AI architectures, and common failure modes.
• 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.
• Address security challenges posed by LLMs, model APIs, and training data pipelines.

Skills

Security engineering

LLM AI security knowledge

Python

Cloud security

Communication skills

Education

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

Tools

Threat modeling tools

Security architecture review

Job description

Bright Vision Technologies is seeking a Secure AI Systems Engineer to lead security controls for AI/ML systems across cloud environments. The role focuses on defending AI-powered applications and infrastructure, including LLMs and data pipelines.

The ideal candidate has 6+ years in security engineering, deep knowledge of AI security, and strong Python plus systems language skills. This remote U.S. role emphasizes robust security design and incident response for AI platforms.