高级企业AI安全架构师
Sr Enterprise AI Security Architect
职位描述
WEX 正在寻找一位 AI 安全架构师，帮助保护我们在企业范围内下一代 AI 和代理系统。这是一项高度技术性的职位，要求安全专业人员深入了解现代 AI 系统的工作原理——从模型推理和代理工作流到向量数据库、身份和信任边界，并能将这些知识转化为实际的安全架构和控制措施。
你将直接与构建这些系统的工程和 AI 团队合作，帮助他们快速推进，同时确保安全从一开始就设计到技术中。这不是一个传统的“清单和图表”式架构职位；你将被期望深入参与技术设计，挑战假设，并为新兴 AI 平台独立定义安全模式。
你会做什么
- 与 AI、工程和平台团队合作，审查并保护 AI 应用和平台的架构。
- 为 LLM、AI 代理、RAG 架构、向量数据库和推理环境定义安全模式、参考架构和防护机制。
- 识别并解决 AI 数据流、模型和推理访问、身份边界、第三方集成以及代理工作流中的安全风险。
- 为 AI 和多代理系统中的身份、认证、授权和信任边界设计实用方法。
- 评估新兴的 AI 特定威胁，并定义适当的安全部署和缓解措施。
- 帮助建立对 LLM 推理和代理活动的监控、安全防护、策略执行和检测能力。
- 将新兴的 AI 安全和监管要求转化为实际的工程标准和指导。
- 通过帮助团队做出基于风险的明智安全决策，推动安全创新，而不是作为守门人。
- 在 WEX 持续构建和采用新兴 AI 技术和平台的过程中，提供技术领导力和指导。
你需要具备
- 在应用、云或平台安全方面有深厚的技术专长，并有证明的 securing 现代 AI 架构的经验。
- 对模型推理、AI 模型生命周期概念以及基于 LLM 的系统相关的安全考虑有深刻理解。
- 有评估或保护涉及 LLM、RAG、向量数据库、AI 代理和代理或多代理工作流的架构的经验。
- 对身份、认证、授权有深刻理解
查看英文原文
About the Role
WEX is seeking an AI Security Architect to help secure the next generation of AI and agentic systems across our enterprise. This is a deeply technical role for a security professional who understands how modern AI systems work—from model inference and agentic workflows to vector databases, identity, and trust boundaries—and can translate that knowledge into practical security architecture and controls.
You will partner directly with engineering and AI teams building these systems, helping them move quickly while ensuring security is designed into the technology from the start. This is not a traditional “checklist and diagram” architecture role; you will be expected to engage deeply with technical designs, challenge assumptions, and independently define security patterns for emerging AI platforms.
What You'll Do
- Partner with AI, engineering, and platform teams to review and secure the architecture of AI applications and platforms.
- Define security patterns, reference architectures, and guardrails for LLMs, AI agents, RAG architectures, vector databases, and inference environments.
- Identify and address security risks across AI data flows, model and inference access, identity boundaries, third-party integrations, and agentic workflows.
- Design practical approaches for identity, authentication, authorization, and trust boundaries in AI and multi-agent systems.
- Evaluate emerging AI-specific threats and define appropriate security controls and mitigations.
- Help establish monitoring, security guardrails, policy enforcement, and detection capabilities for LLM inference and agentic activity.
- Translate emerging AI security and regulatory requirements into practical engineering standards and guidance.
- Enable secure innovation by helping teams make informed, risk-based security decisions rather than acting as a gatekeeper.
- Provide technical leadership and guidance as WEX continues to build and adopt emerging AI technologies and platforms.
What You'll Bring
- Deep technical expertise in application, cloud, or platform security with demonstrated experience securing modern AI architectures.
- Strong understanding of model inference, AI model lifecycle concepts, and the security considerations associated with LLM-based systems.
- Experience evaluating or securing architectures involving LLMs, RAG, vector databases, AI agents, and agentic or multi-agent workflows.
- Strong understanding of identity, authentication, authorization, and trust boundaries, particularly as they apply to AI systems and autonomous agents.
- Ability to identify AI-specific security threats and translate them into practical, scalable security controls.
- Experience working directly with engineering teams and engaging deeply in technical architecture and design discussions.
- Strong ability to navigate ambiguity, independently evaluate emerging technologies, and develop practical security patterns where established standards may still be evolving.
Preferred Qualifications
- Experience implementing security guardrails, policy enforcement, or monitoring for AI and LLM-based applications.
- Familiarity with AI security frameworks, emerging industry standards, and the evolving regulatory landscape.
- Experience with cloud-native architectures and modern application development environments.
- Relevant security certifications are valued but are not a substitute for demonstrated technical depth in securing modern AI systems.
How You'll Make an Impact
You will help shape how WEX securely adopts and builds AI technologies at a time when the underlying technology and threat landscape are evolving rapidly. Your ability to combine deep technical expertise with pragmatic, risk-based decision-making will help engineering teams innovate with confidence while building security into AI systems from the start.
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $143,400.00 - $189,100.00Originally posted on Himalayas