部署工程师 (FDE), 金融服务-纽约
Forward Deployed Engineer (FDE), Financial Services- NYC
关于团队
OpenAI 的前沿部署工程团队与银行、资产管理公司、保险公司和私募基金合作，将生产级 AI 系统部署到高风险的金融环境中。我们处于客户交付与核心平台开发的交汇点，深入客户内部，将前沿模型能力转化为可信赖、可审计的系统，创造可衡量的业务影响。我们的工作将早期部署转化为可重复的解决方案模式、运营标准和评估实践，从而在受监管的金融机构中实现规模化。
关于职位
我们正在招聘一位前沿部署工程师（FDE），负责在对正确性、延迟、可解释性和控制有严格要求的金融服务机构中，主导 OpenAI 模型的端到端部署。你将与在投行、交易、风险、合规、承销、研究、运营或投资决策方面具有专业知识的客户合作，将复杂的流程、数据限制和监管要求转化为生产系统。
你将通过生产采用率、流程效率、风险降低、收入影响以及由评估驱动的反馈循环来衡量成功，这些反馈将为产品、模型和市场进入策略提供依据。你将与产品、研究、市场进入、安全、法律和 GRC 团队紧密合作，交付符合企业治理、可审计性和运营弹性的系统。
你还将在这个角色中发挥核心作用，塑造 OpenAI 的金融服务产品——识别高价值用例，定义解决方案模式，并构建可在机构间扩展的首个可重复部署。了解更多我们与金融机构的合作内容 https://openai.com/index/introducing-chatgpt-financial-services/。
该职位位于纽约。我们采用每周 3 天在办公室的混合办公模式。我们提供搬迁协助。可能需要最多 50% 的出差。
在此职位中，你将
- 设计并发布围绕模型的生产 AI 系统，负责集成、数据流、可靠性、可观测性和值班准备，覆盖金融工作流程。
- 从售前到售后主导发现和范围定义，将模糊的业务问题转化为以假设驱动的问题框架、系统需求和具有可衡量成果的交付计划。
- 定义并执行受监管金融环境中的发布标准，包括控制措施和审计文档
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ABOUT THE TEAM
OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions.
ABOUT THE ROLE
We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems.
You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience.
You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions https://openai.com/index/introducing-chatgpt-financial-services/.
This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required.
IN THIS ROLE, YOU WILL
- Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows.
- Lead discovery and scoping from pre-sales through post-production, translating ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes.
- Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance.
- Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures.
- Run evaluation loops that measure model and system quality against workflow-specific financial benchmarks (e.g., accuracy, latency, coverage, false positives) and use results to drive iteration.
- Own delivery state across multiple workstreams, making trade-offs between scope, speed, and quality to protect production outcomes.
- Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling that scale across financial institutions.
- Surface field feedback that informs model behavior, product capabilities, and platform gaps in real-world financial use cases.
YOU MIGHT THRIVE IN THIS ROLE IF YOU
- Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries.
- Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences.
- Have experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes, and understand how incentives and controls shape adoption.
- Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks.
- Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes.
- Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture.
- Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns.
- Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes.
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.