Remote ML Security Engineer – AI/LLM Defense Lead

Bright Vision Technologies; Issaquah (WA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an ML Security Engineer to lead the design and implementation of security controls for AI/ML systems. This role focuses on LLMs, model APIs, training pipelines, and AI-powered applications, addressing prompt injection, data exfiltration, and supply chain risks.

The candidate should have 6+ years of security engineering experience with AI/ML, strong knowledge of cryptography, cloud security, and Python, and will drive red-team exercises and multi-tenant

Qualifications

• Bachelor’s or Master’s degree in CS, cybersecurity, or related discipline.
• 6+ 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

• 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

Security engineering

Threat modeling

Python

Cloud security

Cryptography

AI/ML security

Communication

Education

Bachelor’s or Master’s degree in CS or cybersecurity

Job description

Bright Vision Technologies is seeking an ML Security Engineer to lead the design and implementation of security controls for AI/ML systems. This role focuses on LLMs, model APIs, training pipelines, and AI-powered applications, addressing prompt injection, data exfiltration, and supply chain risks.

The candidate should have 6+ years of security engineering experience with AI/ML, strong knowledge of cryptography, cloud security, and Python, and will drive red-team exercises and multi-tenant