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.
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 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 |
|---|---|---|
| Partner AI Deployment Engineer - AWS This role focuses on enabling the deployment and scaling of OpenAI's Generative AI applications through a strategic partnership with AWS. The engineer will act as a senior technical advisor to AWS field leadership, guiding customers from ideation to production, and enabling AWS partners to independently drive deployments. Responsibilities include shaping strategy, designing end-to-end AI architectures, building prototypes, establishing best practices, and enabling the AWS ecosystem through workshops and reusable assets. The role requires strong technical leadership, strategic influence, and the ability to build repeatable systems for scaled adoption. | ShipAgent | 8 |
| Developer Experience Engineer This role focuses on empowering developers to integrate AI into their applications by creating demos, tools, and technical content showcasing OpenAI's models and APIs. It involves engaging with the developer community, representing OpenAI at events, and gathering feedback to improve products. |
| Ship |
| 7 |
| AI Deployment Engineer, Codex | India AI Deployment Engineer focused on helping customers adopt OpenAI's coding tools (Codex) by acting as a technical partner. The role involves designing, validating, and scaling AI workflows, building demos and integrations, leading workshops, and gathering customer feedback to influence product direction. It requires deep technical expertise in AI coding tools and the software development lifecycle, with a strong emphasis on customer-facing post-sales engineering and solutions architecture. | Ship | 7 |