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Applied AI Engineer, Digital Natives

OpenAI· Go To Market
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Hybrid (Paris, France)Full-timePosted 5d ago

About the role

Applied AI Engineer partnering with enterprise and digital native customers to design, build, and deploy AI systems that deliver measurable business outcomes; combines hands-on engineering with customer leadership to take ideas from use-case selection through production-scale deployment.

Responsibilities

  • Partner directly with enterprise and digital native 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.
  • Fluency in both French and English.
  • Substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems.
  • High proficiency in Python; comfortable with AI application stack; experience with JavaScript, TypeScript, or other relevant languages is valuable.
  • Understanding of systematic evaluation of AI systems 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 hands-on engineers, technical leaders, security teams, product leaders, and executives.
  • High agency, strong technical judgment, end-to-end ownership in ambiguous environments.
  • Willingness to learn quickly, challenge assumptions, and collaborate with humility.

Skills

Required:PythonCode and prototype developmentSystem design and integrationCommunication

Benefits

  • Relocation assistance to new employees.
  • Hybrid work model: 3 days in the office per week.
Last updated Oct 22, 2026. Interested? Apply on the company site.

About OpenAI

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