AI Deployment Engineer, Enterprise

at OpenAI
USD 197,000-278,000 per year
MIDDLE
✅ Hybrid
✅ Relocation

Used Tools & Technologies

Not specified

Required Skills & Competences

Security @ 3 TypeScript @ 5 Python @ 5 Machine Learning @ 3 Leadership @ 3 Communication @ 6 JavaScript @ 5 Debugging @ 3 Observability @ 3 AI @ 3

Details

About the Team

OpenAI’s AI Deployment Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. The team works with customer executives, product and engineering teams, security leaders, and transformation teams to identify opportunities, accelerate technical implementation, and scale what works across complex enterprise environments.

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. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact.

This role is based in OpenAI’s San Francisco or New York City office. The team uses a hybrid work model of 3 days in the office per week and OpenAI offers relocation assistance to new employees.

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.

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 may include applied AI/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.
  • 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.
  • Strong communication skills to work 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.

Benefits & Additional Details

  • Base salary range: $197,000 – $278,000 (Zone A). In addition to salary, offers include equity and potential performance-related bonuses.
  • Medical, dental, and vision insurance; HSA contributions; 401(k) with employer match; paid parental leave; PTO; mental health support; learning and development stipend; daily meals and meal credits; and other fringe benefits.
  • Relocation support for eligible employees.
  • Background checks administered in accordance with applicable law. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.

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