Remote ML Security Engineer for AI Systems

Bright Vision Technologies; Kirkland (WA); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced ML Security Engineer for a 100% remote role in the United States. The engineer will lead the design and implementation of security controls for AI/ML systems, focusing on LLM risks, data integrity, and supply chain security.

The role requires 6+ years of security engineering experience with AI/ML, and a strong background in Python and cloud security. Candidates should be proficient in threat modeling and defense design for AI-powered

Qualifications

• Experience securing AI-powered applications and ML systems.
• Strong understanding of LLM internals and AI architectures.
• Hands-on with threat modeling and security reviews.
• Proficient in Python and at least one systems language.
• Strong cloud security and infrastructure controls knowledge.
• Excellent written and verbal communication.

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

LLM security

Threat modeling

Python

Security architecture

Cloud security

Adversarial ML

Education

Bachelor's or Master's in CS or related

Job description

Bright Vision Technologies is seeking an experienced ML Security Engineer for a 100% remote role in the United States. The engineer will lead the design and implementation of security controls for AI/ML systems, focusing on LLM risks, data integrity, and supply chain security.

The role requires 6+ years of security engineering experience with AI/ML, and a strong background in Python and cloud security. Candidates should be proficient in threat modeling and defense design for AI-powered