Note: The job is a remote job and is open to candidates in USA. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As an Enterprise AI Deployment Engineer, you will partner with organizations to design, build, and deploy AI systems that deliver measurable business outcomes.
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
Skills
- 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
- Are 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
- Have 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
- Bring 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
Benefits
- Offers Equity
- Hybrid work model of 3 days in the office per week
- Relocation assistance to new employees
Company Overview
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