AI Deployment Engineer, Enterprise

About the Role

As an Enterprise AI Deployment Engineer, you will partner directly with leading 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 day-to-day will involve writing and debugging code, building evaluation systems, resolving complex integrations, and guiding critical decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success in this role will be defined by production systems that are launched and sustained, meaningful customer impact, and the creation of reusable patterns that accelerate future deployments for customers everywhere. You will own the full lifecycle of enterprise AI deployments, turning lessons from complex implementations into durable capabilities for the organization.

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 across diverse environments.

Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators that de-risk delivery.

Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance to meet enterprise requirements.

Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution in ambiguous production contexts.

Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact while navigating existing architectures and constraints.

Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams to translate deployment experience into high-signal product feedback.

Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments and reduce time to value.

Operate effectively across diverse data environments, security and governance requirements, and multiple stakeholder groups with clarity and precision.

Turn deployment learnings into improved products and patterns that benefit current and future customers in enterprise contexts.

Requirements

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.

Bring relevant background from 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 to ensure real-world performance.

Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost constraints.

Can connect technical decisions to customer workflows, adoption, and measurable business outcomes to ensure solutions drive meaningful impact.

Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives in diverse organizational contexts.

Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments where direction is co-created.

Learn quickly, challenge assumptions constructively, and collaborate with humility; prior industry experience or familiarity with OpenAI products is not required.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate against any employee or applicant.