应用AI工程师，企业
Applied AI Engineer, Enterprise
团队简介
OpenAI的Applied AI工程团队帮助组织将前沿AI能力转化为安全、可靠且具有高影响力的生产系统。我们与客户高管、产品和工程团队、安全负责人以及转型团队合作，识别有价值的机会，加速技术实施，并扩展可行方案。企业级部署由复杂性定义，而非特定行业：现有的架构、多样的数据环境、安全和治理要求、多个利益相关者群体以及全组织的变革。我们将这些部署的经验转化为更好的产品和可复用的模式，为全球客户提供支持。
职位简介
作为企业级Applied AI工程师，你将直接与领先组织合作，设计、构建和部署能够实现可衡量业务成果的AI系统。你将结合深入的技术判断、实际工程能力和客户领导力，将雄心勃勃的想法从用例选择和架构设计，经过原型开发、评估、生产发布和扩展，一路推进。你将编写和调试代码，构建评估系统，解决复杂的集成问题，并指导涉及模型行为、可靠性、延迟、成本、安全性、安全性和运营准备度的决策。成功以生产系统、持续采用和有意义的客户影响来衡量，而不仅仅是活动或成功的演示。这是一个难得的机会，在AI的前沿进行有影响力的实际部署，同时直接影响OpenAI产品的演进方向。
在该职位中，你将：
- 直接与企业客户合作，识别高价值机会，并将其转化为技术架构、实施方案、评估策略和可衡量的成功标准。
- 设计、构建和部署解决重要客户问题并产生可衡量业务成果的AI系统。
- 亲自编写代码，构建原型、评估框架、参考实现、集成和生产加速工具。
- 在模型、代理、检索、工具、数据、可靠性、可观测性、延迟、成本、安全性、安全性和治理等方面做出合理的技术决策。
- 诊断复杂的实施挑战，重现故障，测试假设，并推动障碍的解决。
- 帮助客户从有前景的原型进展到可靠的生产系统，持续采用
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About the Team
OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.
About the Role
As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.
In this role, you will:
- Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
- Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
- Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
- Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
- Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
- Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
- Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
- Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.
You’ll thrive in this role if you:
- Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
- Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management.
- Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.
- Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
- Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
- Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.
- Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives.
- Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
- Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required.
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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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.