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OpenAI

Applied AI Engineer, Enterprise

OpenAI

. Design, build, evaluate, and deploy AI systems from prototype to reliable production and scaled adoption .

Posted 11/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $251,000 - $278,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI systems, with a strong focus on Python programming, model evaluation, and enterprise integration. Capable of translating customer needs into technical solutions while ensuring reliability, security, and measurable business outcomes.

Highest-signal resume keywords
AI System DesignPython ProficiencyModel EvaluationEnterprise IntegrationTechnical Architecture

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI SystemsMachine LearningPythonJavaScriptTypeScriptData PipelinesModel APIsDebuggingProduction EngineeringSystematic AI Evaluation
Soft Skills
CommunicationTechnical JudgmentProblem SolvingEnd-to-End Ownership
Tools & Technologies
Automated GradersObservability ToolsIntegration Tools
Industry Keywords
Enterprise EnvironmentsEducation InstitutionsData GovernanceSecurityPrivacy

Tech Stack

Tools & technologies
JavaScriptPythonTypeScriptGo

About the role

Key responsibilities & impact
  • Design, build, evaluate, and deploy AI systems from prototype to reliable production and scaled adoption
  • Solve important customer problems and deliver measurable business outcomes
  • Partner with enterprise customers, including universities and educational institutions, to identify high-value opportunities
  • Translate customer opportunities into technical architectures, implementation plans, evaluation strategies, and success criteria
  • Make technical decisions across model selection, agent and tool design, retrieval, context design, data pipelines, evaluation, reliability, observability, latency, cost, safety, security, and governance
  • Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve blockers
  • Partner with customer engineering teams and OpenAI Product, Research, Engineering, Security, and Go-to-Market teams
  • Turn deployment experience into actionable product feedback
  • Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments

Requirements

What you’ll need
  • Personally designed, built, and shipped AI or machine-learning systems in enterprise environments, from prototype to production
  • Substantial contributions through coding, architecture, evaluation, debugging, or production engineering
  • Highly proficient in Python
  • Comfortable working end to end across model APIs, agent and tool development, retrieval and data pipelines, evaluation, observability, integrations, and production operations
  • Experience with JavaScript, TypeScript, or another relevant language is valuable
  • Knowledge of systematic AI evaluation using representative data, automated graders, production signals, and human judgment
  • Experience navigating enterprise production requirements, including integrations, reliability, observability, security, privacy, data governance, performance, and cost
  • Experience navigating education or research environments is valuable
  • Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes
  • Ability to communicate with engineers, technical leaders, security and product teams, and executives
  • Ability to take end-to-end ownership, exercise strong technical judgment, and work through ambiguity
  • Experience working with education institutions, particularly universities, preferred but not required
  • Prior OpenAI product experience is not required

Benefits

Comp & perks
  • Equity
  • Performance-related bonus(es) for eligible employees
  • Medical, dental, and vision insurance for you and your family
  • Employer contributions to Health Savings Accounts
  • Pre-tax Health FSA, Dependent Care FSA, and commuter expense accounts
  • 401(k) retirement plan with employer match
  • Paid parental leave: up to 24 weeks for birth parents and 20 weeks for non-birthing parents
  • Paid medical and caregiver leave: up to 8 weeks
  • Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays
  • Paid coordinated company office closures
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Charitable donation matching and wellness stipends may be provided