AI Deployment Engineer – Enterprise

OpenAI

AI Deployment Engineer responsible for designing and deploying AI systems that drive business outcomes for enterprise clients. Collaborating with teams to innovate and improve AI deployment processes.

Posted 7/9/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $197,000 - $278,000 per yearWebsite

Tech Stack

Tools & technologies

JavaScriptPythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

ATS Keywords

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Hard Skills & Tools

AI System DesignMachine Learning EngineeringPythonJavaScriptTypeScriptArchitecture EvaluationDebuggingProduction EngineeringData GovernancePerformance Optimization

Soft Skills

Clear CommunicationStrong Technical JudgmentCollaborationProblem-SolvingHumility