Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
OpenAI currently has 235 active AI-related job listings. The majority of these roles are in the application stage, accounting for 32% of the total, followed closely by the agents stage at 29%. The dominant function for hiring is Engineering, with 168 positions. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, OpenAI posted 50 new AI roles, representing a 14% increase compared to the previous 30-day period.
OpenAI currently has 254 active AI-related roles in our index. The most common open titles are: AI Deployment Engineer (4), Partner AI Deployment Engineer - AWS (4), AI Deployment Engineer - Startups (3), AI Deployment Engineer- Codex (3), AI Deployment Engineer, Startups (2). Most positions are in Engineering and Research.
OpenAI's active AI hiring is concentrated in: application (33%), agents (28%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenAI is hiring AI talent in: United States (203 roles), United Kingdom (14 roles), Japan (6 roles), Germany (5 roles).
Job postings at OpenAI most frequently reference: model serving, agent orchestration, evals, llm observability, inference infra.
In the past 30 days, OpenAI has posted 56 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Technical Deployment Lead - Sydney Founding role in Sydney for a Technical Deployment Lead (TDL) on the Forward Deployed Engineering team. The TDL will define how OpenAI delivers complex AI systems to customers, owning their build, shipment, and adoption. This involves translating business outcomes into technical plans, managing day-to-day execution across FDEs, Researchers, and Customer Engineers, and partnering with customer teams to ensure delivery supports their goals. The role requires deep technical project management expertise, ownership of outcomes, and the ability to immerse in customer workflows to solve complex engineering problems at pace. Success is measured by customer impact, adoption, delivery reliability, and operating leverage. | Ship | 8 |
| Partner AI Deployment Engineer - AWS This role focuses on enabling the safe and effective deployment of Generative AI applications for developers and enterprises, primarily through a strategic partnership with AWS. The engineer will act as a technical advisor, guiding customers from experimentation to production-scale AI systems, shaping strategy, defining engagement models, and building repeatable systems. Responsibilities include leading technical strategy for large engagements, designing end-to-end AI architectures, building prototypes, and enabling AWS and partners through scalable technical motions. |
| ShipAgent |
| 7 |