Remote AI Security Engineer - Guard ML Systems & Data

Bright Vision Technologies; Edison (NJ); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Security Engineer to lead the design and implementation of security controls for AI/ML systems. You will craft threat models, build guardrails, and enable incident response across AI workflows and model endpoints.

The role requires deep knowledge of LLM internals, security engineering for AI-powered apps, and strong Python and systems-language skills. This is a full-time remote position in the U.S.

Qualifications

• Bachelor’s or Master’s degree in CS, Cybersecurity, or a related discipline.
• 8+ years of security engineering experience, including significant work on AI/ML systems.
• Strong understanding of LLM internals, modern AI architectures, and common failure modes.
• Hands-on experience designing security controls for AI-powered applications.

Responsibilities

• Define and implement security controls specifically targeting LLM and AI-powered application risks.
• Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns.
• Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints.
• Implement runtime detection and response capabilities for adversarial prompts and abusive behavior.
• Secure training and fine‑tuning pipelines, including data provenance, integrity, and access controls.
• Design controls for sensitive data handling, retention, and redaction in LLM workflows.
• Lead red‑team exercises against AI systems and drive remediation of identified weaknesses.
• Evaluate and harden third‑party AI services and open‑source AI components used internally.
• Implement identity, authorization, and tenant‑isolation patterns for multi‑tenant AI services.
• Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies.
• Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations.
• Develop monitoring, logging, and detection strategies tailored to AI workloads.
• Lead incident response for AI‑specific security events and drive durable improvements.
• Stay current with adversarial ML, LLM security research, and emerging regulatory developments.

Skills

AI security

Threat modeling

Python

Cloud security

Security engineering

Education

Bachelors/Master’s in CS or Cybersecurity

Tools

Systems languages

Job description

Bright Vision Technologies is seeking an AI Security Engineer to lead the design and implementation of security controls for AI/ML systems. You will craft threat models, build guardrails, and enable incident response across AI workflows and model endpoints.

The role requires deep knowledge of LLM internals, security engineering for AI-powered apps, and strong Python and systems-language skills. This is a full-time remote position in the U.S.