Oracle has 61 active AI-related job listings, with a significant focus on roles related to agents, which constitute 66% of the openings. The majority of these positions are within the Engineering function, and hiring is primarily concentrated in the United States. Frequently mentioned technical tags include agent_orchestration, llm_observability, and model_serving, suggesting a direction towards managing and deploying large language models. Over the last 30 days, Oracle has seen a substantial increase in AI hiring, with 55 new roles posted, representing a 267% rise compared to the preceding 30-day period.
Currently tracking 76 active AI roles, with 1131 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $79k–$355k (avg $172k).
Oracle currently has 126 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (7), Principal AI Agent / ML Software Engineer (OCI) (4), Principal Application Software Engineer (4), Senior Member of Technical Staff - US Citizenship Required (3), Software Developer 4 (3). Most positions are in Engineering and Product.
Oracle's active AI hiring is concentrated in: agents (48%), serving infrastructure (22%), application (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Oracle is hiring AI talent in: United States (104 roles), India (13 roles), Brazil (4 roles), Switzerland (1 role).
Job postings at Oracle most frequently mention: Cloud Infrastructure, Agentic Systems, Distributed Systems, Production ML Systems, Process Mining.
In the past 30 days, Oracle has posted 118 new AI-related roles. That is a +57% change versus the prior 30 days (75 → 118).
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist 3 Applied Scientist role at Oracle focused on developing and deploying state-of-the-art machine learning algorithms and systems, including Generative AI and LLMs. Responsibilities include building prototypes, creating solutions for enterprise products, and contributing to production model code. The role involves research in areas like efficient neural networks, VLM, and reinforcement learning for AI alignment. | Post-trainAgent | 9 |
| Lead Principal Applied Scientist Lead Principal Applied Scientist at Oracle, focusing on identifying strategic business needs and driving the design, execution, and deployment of ML/AI solutions. This role involves applied research, model training/fine-tuning, optimization, and guiding technical teams to production. It also emphasizes publishing research findings and contributing to the scientific community. |
| Post-train |
| 8 |
