AI Governance Engineer

Bright Vision Technologies • Wesley Chapel, FL

5d • $100,000 - $150,000 • Remote

About The Position

Bright Vision Technologies is seeking an AI Governance Engineer for a full-time, direct W2 role. The position is 100% remote within the United States and offers an annual salary of $100,000–$150,000. The posting describes the role as leading the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. It focuses on security risks involving LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals, understands modern AI systems in practice, and has hands-on experience designing defenses for AI-powered applications and supporting AI infrastructure. Six or more years of security engineering experience, including significant work on AI or ML systems, is required. The employer cannot sponsor new H-1B visa petitions; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

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.

Nice To Haves

• Publications, talks, or CTF participation in AI security topics.
• Experience with red-teaming LLM-based products.
• Familiarity with privacy-preserving ML techniques such as differential privacy.
• Exposure to regulated industries with strict data handling requirements.
• Open-source contributions to AI security tooling.

Responsibilities

• Lead the design and implementation of security controls for AI and machine learning systems.
• Develop threat models and incident response capabilities tailored to AI and ML systems.
• Design defenses for AI-powered applications and the AI infrastructure that supports them.
• Address security risks involving LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior