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OpenAI's Applied AI Engineering team helps organizations deploy frontier AI capabilities into safe, reliable, and high-impact production systems. As an Applied AI Engineer, you will partner directly with leading enterprises and digital-native organizations to design, build, and deploy AI systems that deliver measurable business outcomes.
You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. Your work spans the full lifecycle: writing and debugging code, building evaluation systems, resolving complex integrations, and guiding decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness.
Key responsibilities include:
- Partnering directly with enterprise and digital-native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, and measurable success criteria
- Designing, building, and deploying AI systems that solve important customer problems and produce measurable business outcomes
- Working hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators
- Making sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance
- Diagnosing complex implementation challenges, reproducing failures, testing hypotheses, and driving blockers toward resolution
- Helping customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact
- Partnering closely with customer engineering teams and OpenAI product, research, engineering, security, and go-to-market teams to translate deployment experience into product feedback
- Creating reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments
Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI's products evolve.
The role is based in Paris with a hybrid work model of 3 days in the office per week. Relocation assistance is offered to new employees.
Requirements:
- 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 include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, product engineering, or technical consulting
- Fluency in both French and English
- Substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems—not only program or stakeholder management
- High proficiency in Python and comfort working across an AI application stack; 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
- Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes
- Clear communication with 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
- Quick learning, constructive challenge of assumptions, and collaborative approach; experience in a particular industry or with OpenAI products is not required
