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 |
|---|---|---|
| Senior Principal Applied Scientist (OCI- GenAI Vision/Biometrics) Senior Principal Applied Scientist role focused on computer vision and GenAI, leading a team to develop and implement cutting-edge technologies for customer business problems. Requires strong publication record and experience in computer vision, deep learning, and image processing. | Ship | 9 |
| Applied Scientist 3 This Applied Scientist role focuses on inventing, implementing, and deploying state-of-the-art machine learning algorithms and systems for enterprise products. The role involves building cloud services for various applications like decision support, anomaly detection, forecasting, recommendations, NLP, NLU, ASR, and Computer Vision. Responsibilities include developing models, prototypes, and experiments, writing production model code, and working with large datasets to solve complex business problems and optimize customer experience. |
| 8 |
| Applied Scientist 5 Applied Scientist role focused on developing and deploying AI/ML solutions for enterprise products and services, including areas like NLP, ASR, CV, and recommendation systems. The role involves research, prototyping, experimentation, and ensuring solutions are ready for production deployment. | Ship | 8 |
| Applied Scientist 5 Applied Scientist role focused on developing and deploying AI/ML solutions for enterprise products and services, including areas like NLP, ASR, CV, and recommendation systems. The role involves research, prototyping, experimentation, and ensuring solutions are ready for production deployment. | Ship | 8 |
| Lead Principal Product Manager, Healthcare AI - Autonomous Coding Product Manager to lead the vision, design, and execution of AI-driven healthcare revenue cycle products, focusing on autonomous coding to improve medical coder productivity and reduce burnout. | Ship | 7 |
| Senior Product Manager, Healthcare AI & Revenue Cycle Solutions Senior Product Manager to lead product strategy, roadmap, and execution for AI-enabled healthcare workflow solutions, including revenue cycle management, interoperability, healthcare data exchange, and clinical AI applications. The role involves driving the development of innovative products leveraging AI and healthcare interoperability standards, working with cross-functional teams, and defining product vision for enterprise-scale solutions. | ShipAgent | 7 |
| Architect, Applied Scientist (Reasoning Platform, AI Lead) This role focuses on architecting and leading the applied science execution for Oracle's Data & AI Platform, driving the development and deployment of state-of-the-art machine learning solutions for enterprise customers. The role involves building cloud services, leading integration and alignment of AI strategies, and providing technical leadership to productionize research findings, with a strong emphasis on applied research for core products and services. | ShipServe | 7 |
| Principal Software Engineer Principal Software Engineer at Oracle Cloud Infrastructure (OCI) focused on building AI-native engineering systems, internal platforms, and operational tooling. The role emphasizes using AI-assisted development, coding agents, and automation-first workflows as the primary mode of software creation, integrating LLMs and agentic workflows to accelerate delivery and solve operational problems. | Ship | 7 |
