远程工作雷达

AI 安全工程师

AI Security Engineer

AI开发工程限定地区(需当地身份)
公司Bright Vision Technologies
薪资$100,000 - $150,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

AI Security Engineer – 远程办公

Bright Vision Technologies 是一家技术咨询和软件开发公司,为美国各地的客户提供云计算、人工智能、数据和企业解决方案。
这是一个加入一家知名且受人尊敬的组织的绝佳机会,提供巨大的职业发展潜能。

职位名称:AI Security Engineer
工作地点:100% 远程(美国)
职位类型:全职,直接W2
薪资范围:每年10万至15万美元
所需经验:8年以上

赞助:美国公民、绿卡持有者、EAD持有者以及H-1B转签候选人欢迎申请。我们无法为该职位的新H-1B签证申请提供赞助。

职位简介:
我们正在寻找一名AI Security Engineer,负责针对AI和机器学习系统设计和实施安全控制措施、威胁模型和事件响应能力。该职位解决LLM、模型API、训练数据管道和AI驱动的应用程序带来的独特安全挑战,包括提示注入、模型滥用、数据外泄和供应链风险。理想的候选人具备扎实的安全工程基础,并深入了解现代AI系统在实际中的运作方式,有为AI驱动的应用程序和支撑它们的AI基础设施设计防御措施的实际经验。

主要职责
· 针对LLM和AI驱动的应用程序风险,定义并实施安全控制措施。

  • 为AI系统构建威胁模型,包括提示注入、越狱、数据外泄和滥用模式。
  • 在模型端点周围设计和部署防护机制、内容过滤器和策略执行层。
  • 实现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工作流程中的敏感数据处理、保留和脱敏设计控制措施。
  • 领导针对AI系统的红队演练,并推动识别出的弱点的修复。
  • 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服务实现身份验证、授权和租户隔离模式。
  • 推动ML制品的供应链安全,包括权重、数据集和推理依赖项。
  • 与隐私、法律和合规团队合作,确保AI系统符合监管要求
查看英文原文

AI Security 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 Security Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 8+ 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.

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 resume to or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at .
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.
Originally posted on Himalayas

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