The opportunity
OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable…
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.
What they're looking for
- 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.
- Have a 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.
- Can point to substantial personal contributions in code, architecture,: evaluation, debugging, or production engineering—not only program or stakeholder management.
