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AI Governance Engineer

Bright Vision TechnologiesUnited States🌍 Remote
Full-time7-15
$100k - $150k
per year
👁️ 0 views📝 0 applicationsPosted 8/6/2026Expires 10/5/2026

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Job Description

AI Governance Engineer- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Governance Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience : 6+ years Sponsorship: U. S.

Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems.

The role addresses the unique security challenges posed by 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 and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them.

Required Qualifications 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. Proficien