Remote AI Cybersecurity Engineer: Secure AI/ML Systems

Socket.dev; Sunnyvale (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Cybersecurity Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities tailored to AI and ML systems.

The role addresses prompt injection, model abuse, data exfiltration, and supply chain risks for AI-powered applications and infrastructure. A strong background in cloud security and cryptography is required.

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 design and implementation of security controls, threat models, and incident response for AI/ML systems.
• Collaborate with product and engineering teams to secure AI-powered applications and infrastructure.

Skills

Python

Cloud security

Threat modeling

Security architecture

Communication skills

Security engineering

Adversarial ML awareness

Education

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

Job description

Bright Vision Technologies is seeking an AI Cybersecurity Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities tailored to AI and ML systems.

The role addresses prompt injection, model abuse, data exfiltration, and supply chain risks for AI-powered applications and infrastructure. A strong background in cloud security and cryptography is required.