AI Security Engineer

New
B
Bright Vision TechnologiesAI Security
100% Remote (U.S.)Full-TimeSenior
Salary100,000 - 150,000 USD per year
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Job Details

Experience
6+ years
Required Skills
PythonCybersecurityMachine LearningLLM

Requirements

  • 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

  • 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.
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100,000 - 150,000 USD per year
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