Applied AI Engineer (Tokyo)

About the role

OpenAI’s Applied AI Engineering team in Tokyo partners with enterprise customers to design, build, and launch AI systems that deliver measurable business outcomes. The role blends deep technical judgment, hands‑on engineering, and customer leadership to move ideas from prototype to production at scale.

Key responsibilities

• Partner directly with enterprise customers to identify high‑value opportunities and translate them into technical architectures, implementation plans, and success criteria.
• Design, build, and deploy AI systems that solve important customer problems and produce measurable business impact.
• Write and debug code, create 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.
• Collaborate with OpenAI product, research, engineering, security, and go‑to‑market teams, feeding deployment experience back into product development.
• Create reusable architectures, tooling, playbooks, and technical guidance to accelerate future enterprise deployments.

Required profile

• Proven track record of designing, building, and delivering AI or machine‑learning systems in enterprise environments, taking them from prototype to production.
• Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering.
• Highly proficient in Python; experience with JavaScript, TypeScript, or another relevant language is valuable.
• Ability to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
• Experience navigating enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
• Capability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
• Strong communication skills with engineers, technical leaders, security teams, product leaders, and executives.
• Fluent in both Japanese and English.

Required skills

• Python
• JavaScript
• TypeScript