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Applied AI Engineer, Enterprise

OpenAI· Go To Market
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Hybrid (San Francisco), Hybrid (New York City), Hybrid (US - Remote)$251k - $278kFull-timePosted 3mo ago

About the role

Enterprise Applied AI Engineer role partnering with leading organizations to design, build, and deploy AI systems delivering measurable business outcomes, with hands-on engineering, customer leadership, and cross-functional collaboration.

Responsibilities

  • 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.

Qualifications

  • 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.
  • Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering.
  • Proficient in Python and comfortable 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.
  • Experience with enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
  • Strong communication across hands-on engineers, technical leaders, security teams, product leaders, and executives.
  • High agency, strong technical judgment, and end-to-end ownership in ambiguous environments.

Skills

Required:PythonAI/ML engineering
Nice to have:Code proficiency across AI stack

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Last updated Sep 3, 2026. Interested? Apply on the company site.

About OpenAI

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