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Applied AI Engineer

OpenAI· Go To Market
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Hybrid (Singapore)Full-timePosted 9mo ago

About the role

Applied AI Engineer role partnering with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. Hybrid, based in Singapore 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.
  • Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management.
  • Proficient in Python; comfortable across an AI application stack. Experience with JavaScript, TypeScript, or related language is valuable.
  • Experience evaluating AI systems systematically using representative data, graders, production signals, and human judgment.
  • Understanding of 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 hands-on engineers, technical leaders, security teams, product leaders, and executives.
  • High agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
  • Willingness to learn quickly, challenge assumptions, and collaborate with humility.

Skills

Required:PythonAI/ML system design and productionizationCode proficiency and hands-on engineeringSystems evaluation and testing

Benefits

  • Relocation assistance to new employees
  • Hybrid work model (3 days in office per week)
Last updated Sep 17, 2026. Interested? Apply on the company site.

About OpenAI

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