Applied AI Architect
San Francisco · 全职 · 职能与运营
需要对标的能力
大模型原理 · LLM 基础RAG · 检索增强生成Agent · 智能体设计Agent 工程 · Harness / 脚手架模型选型 · 能力评估评测 · Eval 方法论权限 · 沙箱 · 治理AI 产品设计 · 产品化AI 工程设计模式
岗位职责与要求
About the Team
The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams.
About the Role
As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.
You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value.
You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.
In this role, you will:
- Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects.
- Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities.
- Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes.
- Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
- Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production.
- Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
- Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders.
- Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams.
- Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged.
- Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization.
- Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities.
- Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices.
You might thrive in this role if you:
- Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
- Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact.
- Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers.
- Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
- Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
- Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership.
- Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses.
- Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan.
- Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly.
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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关于团队
Technical Success 团队负责确保 ChatGPT 和 OpenAI API 应用被安全、有效地部署到开发者和企业客户中。我们作为客户值得信赖的顾问和思想领袖,确保开发者和企业从我们的模型和产品中获取最大价值。作为 Solutions Engineer,你将帮助客户通过客户支持、自动化内容生成等解决方案,以及利用我们最新、最激动人心模型的创新应用来实现业务转型。
关于职位
我们正在寻找一位 solutions engineer,与客户合作,确保他们通过 ChatGPT 和 OpenAI API 从我们的模型中获得切实的业务价值。你将与高级业务利益相关者合作,了解他们的 pre-sales 需求,指导他们的 AI 战略,并识别最高价值的用例和应用。你还将与业务和技术团队合作,展示我们解决方案的价值,并推荐架构模式以启动他们的实施和开发。
该职位位于 San Francisco, CA。我们采用每周 3 天到办公室的混合办公模式,并为新员工提供 relocation assistance。
在这个职位中,你将:
- 通过提供技术专业知识、阐述价值主张以及解答产品、API 和 LLM 相关问题,为潜在客户和客户提供卓越的 pre-sales 体验。
- 展示如何利用 OpenAI API 和 ChatGPT 满足客户的业务需求并创造可观的业务价值。这包括构建和演示 demo、界定用例范围、推荐架构模式以及提供深入的技术咨询。
- 创建和维护文档、指南和 FAQ,涵盖 pre-sales 过程中发现的常见问题和需求。
- 在评估、验证和采购过程中建立并维护牢固的客户关系。
- 通过收集和传达客户反馈、识别跨客户的共性需求,并将其纳入产品规划,培养客户倡导并代表客户声音与内部团队沟通。
- 作为安全和合规问题的第一道防线,解释标准化材料,引导客户使用相关资源(例如 trust portal),并将复杂需求升级至适当的团队。
如果你具备以下条件,你将在这个职位中表现出色:
- 拥有 3 年以上技术 pre-sales 或类似职位的经验,管理过与复杂全球组织的 C-level 技术和业务关系。
- 对 IT 安全原则以及客户对技术 B2B SaaS 产品的需求有深入理解,并有提供更高层次安全和合规支持的经验。
- 具备 Python 或 Javascript 等编程语言的基础培训。
- 交付过 Generative AI/传统 ML 解决方案的原型,并了解网络/cloud 架构。
- 是一位高效的演讲者和沟通者,能够将业务和技术话题传达给所有受众,包括高级领导。
- 能够端到端地解决问题,并愿意学习任何缺失的知识来完成工作。
- 态度谦逊,热心帮助同事,并渴望尽一切努力使团队成功。
如需通知 OpenAI 你认为该职位发布不合规,请通过此表单提交报告 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA。与职位发布合规性无关的询问将不予回复。
在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 带来的收益能够被广泛分享。加入我们,共同塑造技术的未来。
译文仅供辅助阅读,具体要求以原始招聘来源为准。