应用AI工程师，网络安全
Applied AI Engineer, Cyber
关于团队
Applied AI Engineering 团队负责帮助开发者和企业安全有效地在生产环境中部署 OpenAI 技术。我们作为客户值得信赖的技术顾问和思想伙伴，与他们的团队紧密合作，识别高价值用例，设计实用架构，并从原型过渡到持久的部署。
网络安全是 AI 可以发挥最大作用的最紧迫领域之一。安全团队面临着前所未有的压力，需要更快地在代码、日志、基础设施、工单、警报和漏洞数据之间进行推理。随着前沿模型能力的提升，组织需要深入的技术指导，以评估、验证并安全地将 AI 系统部署到关键安全的工作流程中。
关于职位
我们正在寻找一名网络安全应用 AI 工程师，与客户合作，帮助他们将 OpenAI 模型、API、Codex 和代理工作流应用于实际的网络安全用例。你将与 CISO、安全高管、应用安全负责人、SOC 团队、安全工程团队以及一线实践者合作，确定 AI 能够产生可衡量安全成果的领域。
这是一个面向客户的工程技术职位，要求能够自如地在高管战略、实践层面的网络安全深度和实际解决方案设计之间切换。你将帮助客户评估和部署诸如安全代码审查、漏洞优先级排序、威胁建模、修复、SOC 和事件响应工作流、检测工程、云安全、GRC 自动化和安全验证等流程。
你将与销售、解决方案工程、产品、工程、研究和安全团队密切合作，将客户需求转化为安全的部署模式、可重用的现场资产和产品反馈。该职位位于我们的旧金山总部。我们为新员工提供搬迁支持。
在这个职位中，你将：
- 深度嵌入战略客户中，作为 AI 驱动的网络安全流程的技术负责人，成为安全高管和技术实践者的可信合作伙伴。
- 在应用安全、DevSecOps、漏洞管理、SOC/IR、检测工程、红队、云安全、身份和 GRC 自动化等用例中开展发现工作。
- 使用 OpenAI API、Codex、代理、脚本、CLI、GitHub 工作流、CI/CD 系统、日志、工单、扫描器等，构建并交付面向客户的演示、原型、研讨会、概念验证和参考架构。
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About the team
The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment.
Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows.
About the role
We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes.
This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation.
You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees.
In this role, you will:
- Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners.
- Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases.
- Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools.
- Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
- Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects.
- Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps.
- Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
- Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows.
You'll thrive in this role if you:
- Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience.
- Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture.
- Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners.
- Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling.
- Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.
- Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
- Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims.
- Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field.
- Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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