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    Bright Vision Technologies

    Risk Engineer - AI

    Bright Vision Technologies
    Full-time
    Verified Remote
    RemoteUSD 100,000 - 150,000Cyber SecurityToday

    About this role

    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 Risk Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000 to $150,000 per annnum 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 Risk Engineer to design and implement security controls for AI and machine learning systems. The ideal candidate will have expertise in AI security, threat modeling, LLM protection, cloud security, and incident response, with experience securing AI-powered applications and infrastructure.

    Key Responsibilities:

    • Design and implement security controls for AI and LLM-based applications.

    • Build threat models and mitigate risks such as prompt injection, model abuse, and data exfiltration.

    • Implement guardrails, monitoring, logging, and incident response for AI systems.

    • Secure AI training pipelines, APIs, and multi-tenant environments.

    • Collaborate with security, privacy, and compliance teams to strengthen AI security posture.

    • Conduct AI security assessments and drive remediation of identified risks.

    Required Qualifications:

    • 6+ years of security engineering experience, including AI or ML systems.

    • Strong knowledge of LLM security, application security, cloud security, and threat modeling.

    • Experience with AI security controls, adversarial ML, prompt injection, and Python.

    Preferred Qualifications:

    • Experience with AI red-teaming, privacy-preserving ML, or AI security research.

    • Exposure to regulated industries or open-source AI security tools.

    How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.

    Bright Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) Statement

    Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

    BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

    About Bright Vision Technologies

    Bright Vision Technologies
    Bright Vision Technologies

    Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The company leverages cutting-edge technologies including large language models, AI-powered architectures, and enterprise integration platforms to create scalable, secure, and user-friendly applications. They specialize in LLM-based application architectures, prompt engineering strategies, and enterprise system integrations such as Coupa procurement solutions. The company is actively expanding its AI and machine learning capabilities while maintaining a focus on production-grade implementations across multiple business domains.

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