Bright Vision Technologies is seeking an AI Cybersecurity Engineer to lead the design and implementation of security controls, threat modeling, and incident response for AI and machine learning systems, including challenges related to large language models, model APIs, training data pipelines, prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate will have strong security engineering fundamentals and hands-on experience securing AI-powered applications as well as the underlying AI infrastructure.

Responsibilities

Qualifications: Preferred qualifications:

Design and implement security controls for AI/ML platforms
Develop threat models and conduct security architecture reviews
Lead incident response planning and detection engineering
Collaborate with data science and software engineering teams
Stay current with adversarial ML research and privacy-preserving techniques
Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field
6+ years of security engineering experience, including work on AI/ML systems
Deep understanding of LLM internals, modern AI architectures, and failure modes
Experience with security controls for AI-powered applications
Strong knowledge of application security, identity, cryptography; cloud security
Proficiency in Python and at least one systems programming language
Excellent written and verbal communication skills
Publications, talks, or Capture The Flag participation in AI security
Experience red-teaming LLM-based products
Familiarity with privacy-preservin

Responsibilities

Qualifications: Preferred qualifications:

Design and implement security controls for AI/ML platforms
Develop threat models and conduct security architecture reviews
Lead incident response planning and detection engineering
Collaborate with data science and software engineering teams
Stay current with adversarial ML research and privacy-preserving techniques
Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field
6+ years of security engineering experience, including work on AI/ML systems
Deep understanding of LLM internals, modern AI architectures, and failure modes
Experience with security controls for AI-powered applications
Strong knowledge of application security, identity, cryptography; cloud security
Proficiency in Python and at least one systems programming language
Excellent written and verbal communication skills
Publications, talks, or Capture The Flag participation in AI security
Experience red-teaming LLM-based products
Familiarity with privacy-preservin