AI Risk Engineer

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

AI Risk 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 Risk Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000 to $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 Risk 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. Key Responsibilities: Define and implement security controls specifically targeting LLM and AI-powered application 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 layers around model endpoints. Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. Design controls for sensitive data handling, retention, and redaction in LLM workflows. Lead red-team exercises against AI systems and drive remediation of identified weaknesses. Evaluate and harden third-party AI services and open-source AI components used internally. Implement identity, authorization, and tenant-isolation patterns 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 ensure AI systems meet regulatory obligations. Develop monitoring, logging, and detection strategies tailored to AI workloads. Lead incident response for AI-specific security events and drive durable improvements. Stay current with adversarial ML, LLM security research, and emerging regulatory developments. 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. Proficiency in Python and at least one systems language. Strong understanding of cloud security and modern infrastructure controls. Excellent written and verbal communication skills. Preferred Qualifications: 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. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your

AI风险工程师 – 远程

Bright Vision Technologies是一家技术咨询和软件开发公司，在美国各地提供云、AI、数据和企业解决方案。这是一个绝佳的机会，可以加入一家成熟且备受尊敬的组织，提供巨大的职业发展潜力。

职位名称：AI风险工程师
地点：100%远程（美国本土）
职位类型：全职，直接W2
薪资范围：每年$100,000至$150,000
经验：6年以上
担保：鼓励美国公民、绿卡持有者、EAD持有者和H-1B转移候选人申请。我们无法为此职位赞助新的H-1B签证申请。

职位摘要：
我们正在寻找一名AI风险工程师，负责领导和实施专门针对AI和机器学习系统的安全控制、威胁模型和事件响应能力。该角色应对LLMs、模型API、训练数据管道和AI驱动应用程序带来的独特安全挑战，包括提示注入、模型滥用、数据泄露和供应链风险。理想的候选人具有强大的安全工程基础和对现代AI系统实际运作方式的深刻理解，并具有为AI驱动应用程序和支持它们的AI基础设施设计防御的实践经验。

主要职责：
定义并实施专门针对LLM和AI驱动应用程序风险的安全控制。
为AI系统构建威胁模型，包括提示注入、越狱、数据泄露和滥用模式。
围绕模型端点设计并部署护栏、内容过滤器和策略执行层。
实施针对对抗性提示和滥用行为的运行时检测和响应能力。
保护训练和微调管道，包括数据来源、完整性和访问控制。
为LLM工作流中的敏感数据处理、保留和编辑设计控制。
领导针对AI系统的红队演练，并推动已识别弱点的修复。
评估并加固内部使用的第三方AI服务和开源AI组件。
为多租户AI服务实施身份、授权和租户隔离模式。
推动ML工件的供应链安全，包括权重、数据集和推理依赖。
与隐私、法律和合规团队合作，确保AI系统满足监管义务。
开发针对AI工作负载的监控、日志记录和检测策略。
领导AI特定安全事件的事件响应，并推动持久改进。
紧跟对抗性ML、LLM安全研究和新兴监管发展。

所需资格：
计算机科学、网络安全或相关学科的学士或硕士学位。
六年或以上安全工程经验，包括在AI或ML系统上的重要工作。
对LLM内部结构、现代AI架构和常见故障模式有深入理解。
具有为AI驱动应用程序设计安全控制的实践经验。
深入了解应用安全、身份和密码学基础知识。
具有威胁建模和安全架构审查流程的经验。
熟悉对抗性ML、提示注入和模型滥用研究。
精通Python和至少一种系统语言。
对云安全和现代基础设施控制有深入理解。
出色的书面和口头沟通能力。

首选资格：
在AI安全主题上的出版物、演讲或CTF参与。
具有对基于LLM的产品进行红队测试的经验。
熟悉隐私保护ML技术，如差分隐私。
接触过具有严格数据处理要求的受监管行业。
对AI安全工具的开源贡献。

如何申请
您想了解更多关于这个机会的信息吗？如需立即考虑，请发送您的

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准