Responsibilities
- Partner with enterprise customers to identify high-value opportunities and define technical architectures, implementation plans, evaluation strategies, and success criteria.
- Design, build, and deploy AI systems that deliver measurable customer business outcomes.
- Write and debug code for prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
- Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
- Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve technical blockers.
- Help customers progress from prototypes to reliable production systems, sustained adoption, and scaled impact.
- Collaborate with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams.
- Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments.
Requirements
- Demonstrated experience designing, building, and delivering AI or machine-learning systems in enterprise environments from prototype through production.
- Substantial personal contributions in coding, architecture, evaluation, debugging, or production engineering rather than only program or stakeholder management.
- High proficiency in Python and comfort working across an AI application stack.
- Experience systematically evaluating AI systems using representative data, graders, production signals, and human judgment.
- Experience with enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.
- Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
- Ability to communicate effectively with engineers, technical leaders, security teams, product leaders, and executives.
- Strong technical judgment, high agency, end-to-end ownership, fast learning, constructive challenge, and collaborative humility.
- Fluency in Japanese and English.
- Experience with JavaScript, TypeScript, or another relevant language is valuable.
- Experience in applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting is relevant.
Benefits
- Hybrid work model requiring three days per week in the Tokyo office.
- Relocation assistance is offered to new employees.
Tech Stack
Categories
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. 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.