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Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesJavaScriptPythonTypeScriptGo
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
