Applied AI Engineer, Enterprise
OpenAI · San Francisco · New York City · US - Remote
CHECKED 35M AGO
Frontier labremote$251k–$278k
At a glance
Highlights
- Partner with leading enterprises to deploy frontier AI into production systems.
- Take ambitious AI prototypes through evaluation to reliable, scaled production.
- Turn enterprise deployment lessons into reusable architectures and product insights.
What they offer
- Equity
- Relocation assistance
Ideal candidate
High-agency engineer who loves taking ambiguous enterprise AI ideas to scaled production and measurable impact. You pair hands-on building with clear customer leadership across engineers to executives.
Requirements
- Track record designing, building, and delivering AI/ML systems in enterprise environments from prototype to production
- Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering
- Highly proficient in Python and comfortable across AI application stack
- Experience evaluating AI systems using representative data, graders, production signals, and human judgment
- Navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, governance, performance, and cost
- Ability to connect technical decisions to workflows, adoption, and measurable business outcomes
- Clear communication across engineers, technical leaders, security, product leaders, and executives
- High agency, strong technical judgment, and end-to-end ownership in ambiguous environments
- remote policy
- 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets