Remote AI Cybersecurity Engineer - Lead Secure ML Systems

Triwill Group; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Cybersecurity Engineer to design and implement security controls for AI/ML systems across cloud-based infrastructure.

The role focuses on defending AI-powered applications and infrastructure against prompt injection, model abuse, data exfiltration, and supply chain risks, requiring deep security engineering expertise and strong Python/cryptography fundamentals.

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.

Responsibilities

• Lead design and implementation of security controls for AI/ML systems.
• Develop threat models and incident response capabilities for AI environments.
• Ensure security controls and architectures address LLM prompts, APIs, data pipelines, and model deployment.
• Collaborate with engineers to integrate AI security into infrastructure and applications.

Skills

Security engineering

AI security

Threat modeling

Python

Cloud security

Cryptography

Communication

Education

Bachelor's or Master's in CS/Cybersecurity

Tools

Python

Job description

Bright Vision Technologies is seeking an AI Cybersecurity Engineer to design and implement security controls for AI/ML systems across cloud-based infrastructure.

The role focuses on defending AI-powered applications and infrastructure against prompt injection, model abuse, data exfiltration, and supply chain risks, requiring deep security engineering expertise and strong Python/cryptography fundamentals.