Skip to main content
OpenAI
OpenAI

Applied AI Engineer, Enterprise

RemoteBrazil only
Published
Role
AI / ML
Experience
Mid
Employment
Full-time
Salary not disclosed
Check eligibility

Open to BR only. Set where you work from to check your eligibility.

Required skills

PythonJavaScriptTypeScript

What you'll do

  • 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.

What they require

  • Demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
  • Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
  • Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management.
  • Highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.
  • Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
  • Navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.
  • Communicate with clarity and credibility 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.
  • Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required.

American artificial intelligence research organization

🇺🇸 United StatesAIEnterpriseopenai.com

What people say about this company

4.6/ 5

Salary not disclosed