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Applied AI Engineer - Tokyo

OpenAI· Go To Market
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Hybrid (Tokyo, Japan)Full-timePosted 7mo ago

About the role

Applied AI Engineer role partnering with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. Hybrid work in Tokyo with relocation assistance.

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

  • Demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
  • Proven contributions in code, architecture, evaluation, debugging, or production engineering.
  • Proficiency in Python; experience with JavaScript/TypeScript or similar languages is valuable.
  • Experience evaluating AI systems systematically using representative data, graders, production signals, and human judgment.
  • Experience with enterprise production requirements: integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
  • Clear and credible communication across engineers, technical leaders, security teams, product leaders, and executives.
  • High agency, strong technical judgment, end-to-end ownership in ambiguous environments.
  • Fast learner, challenging assumptions constructively, collaborative, and not requiring industry-specific OpenAI product experience.
  • Ability to speak Japanese and English fluently.

Skills

Required:PythonAI/system evaluationEnterprise production experienceCommunication
Nice to have:JavaScript or TypeScript
Last updated Aug 20, 2026. Interested? Apply on the company site.

About OpenAI

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