Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities tailored to AI and machine learning systems, including LLMs, model APIs, training data pipelines, and AI-powered applications, addressing risks such as prompt injection, model abuse, data exfiltration, and supply chain concerns.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities tailored to AI and machine learning systems, including LLMs, model APIs, training data pipelines, and AI-powered applications, addressing risks such as prompt injection, model abuse, data exfiltration, and supply chain concerns.
Key Responsibilities: - Define and implement security controls for AI/LLM 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 on model endpoints. - Implement runtime detection and response for adversarial prompts and abusive behavior. - Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. - Design controls for handling, retention, and redaction of sensitive data in LLM workflows. - Lead red-team exercises against AI systems and drive remediation. - Evaluate and harden third-party AI services and open-source AI components used internally. - Implement identity, authorization, and tenant isolation for multi-tenant AI services. - Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. - Collaborate with privacy, legal, and compliance teams to meet regulatory obligations. - Develop monitoring, lo
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Key Responsibilities: - Define and implement security controls for AI/LLM 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 on model endpoints. - Implement runtime detection and response for adversarial prompts and abusive behavior. - Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. - Design controls for handling, retention, and redaction of sensitive data in LLM workflows. - Lead red-team exercises against AI systems and drive remediation. - Evaluate and harden third-party AI services and open-source AI components used internally. - Implement identity, authorization, and tenant isolation for multi-tenant AI services. - Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. - Collaborate with privacy, legal, and compliance teams to meet regulatory obligations. - Develop monitoring, lo
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