Applied AI Engineer, Enterprise

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design, construct, assess, and implement AI systems from prototype stages to dependable production and widespread adoption.

• Address critical customer challenges and achieve measurable business results.

• Collaborate with enterprise clients, including universities and educational institutions, to pinpoint high-value opportunities.

• Convert customer opportunities into technical frameworks, implementation strategies, assessment plans, and success metrics.

• Make informed technical choices concerning model selection, agent and tool design, retrieval processes, context architecture, data pipelines, assessment, reliability, observability, latency, expenses, safety, security, and governance.

• Identify implementation obstacles, replicate failures, validate hypotheses, and eliminate blockers.

• Collaborate with customer engineering teams as well as OpenAI's Product, Research, Engineering, Security, and Go-to-Market teams.

• Transform deployment experiences into actionable product insights.

• Develop reusable architectures, tools, playbooks, and technical guidance for future enterprise deployments.

⛳️ Requirements

• Demonstrated experience in personally designing, building, and delivering AI or machine-learning systems within enterprise settings, from prototype to production.

• Significant contributions through coding, architecture, assessment, debugging, or production engineering.

• Strong proficiency in Python.

• Comfortable working across the entire spectrum, including model APIs, agent and tool development, retrieval and data pipelines, assessment, observability, integrations, and production operations.

• Familiarity with JavaScript, TypeScript, or another relevant programming language is advantageous.

• Understanding of systematic AI evaluation utilizing representative data, automated graders, production signals, and human evaluation.

• Experience managing enterprise production requirements, including integrations, reliability, observability, security, privacy, data governance, performance, and expenses.

• Experience in educational or research environments is a plus.

• Capability to link technical decisions with customer workflows, adoption rates, and measurable business outcomes.

• Proficient in communicating with engineers, technical leaders, security and product teams, and executives.

• Ability to assume end-to-end responsibility, exercise sound technical judgment, and navigate through uncertainty.

• Previous experience with educational institutions, especially universities, is preferred but not mandatory.

• Prior involvement with OpenAI products is not a requirement.

🏝️ Benefits

• Equity.

• Performance-related bonus(es) available for eligible employees.

• Medical, dental, and vision insurance for you and your family.

• Employer contributions towards Health Savings Accounts.

• Pre-tax Health FSA, Dependent Care FSA, and commuter expense accounts.

• 401(k) retirement plan with employer matching.

• 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 applicable.

• Relocation assistance for eligible employees.

• Charitable donation matching and wellness stipends may be available.