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 |
|---|---|---|
| Forward Deployed Engineer - Sydney Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside strategic customers. This role involves discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success is measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The FDE will contribute to both customer delivery and core platform development, working closely with various internal teams and potentially contributing code directly. The role requires strong engineering and deployment experience, particularly with LLMs or generative models, and the ability to manage complex systems in ambiguous environments. | AgentServe | 9 |
| AI Deployment Engineer AI Deployment Engineer role focused on partnering with strategic platform customers to identify, design, and implement Generative AI solutions using OpenAI's API and models. The role involves technical guidance, building prototypes, and ensuring successful deployment and scaling of AI applications. |
| Agent |
| 8 |
| AI Deployment Engineer, Startups AI Deployment Engineer focused on working with strategic startup customers to optimize their AI systems, translate insights into product improvements, and design evaluations. This role involves prototyping prompts, agents, and workflows, and synthesizing feedback for OpenAI's research and product teams. | AgentEval Gate | 8 |