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 +64% change versus the prior 30 days (72 → 118).
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist 3 This Applied Scientist role focuses on designing and building data-centric Generative AI methods, including synthetic data generation, multimodal data curation, and data augmentation. The role involves developing evaluation frameworks to connect data quality with downstream GenAI model performance and implementing modern generative AI techniques. Responsibilities include building scalable data and ML pipelines, production-quality code for ML workflows, and translating research into practical systems. The role operates across the full lifecycle from research to production support. | DataPost-train | 9 |
| Student / Intern Research internship focused on constructing relational embeddings for semantic access to business data in relational databases, supporting semantic search, user intent understanding, and agentic AI workflows. Involves surveying and prototyping relational ML approaches, curating datasets, and evaluating methods for enterprise environments. |
| DataAgent |
| 8 |
| Data Scientist 4 Data Scientist role focused on designing, developing, and programming methods to analyze big data, generate insights for client services and product enhancement, and build automated processes for data cleansing and evaluation. Requires expertise in various mathematical principles, programming languages, and tools including Python, SQL, PySpark, Keras, Scikit-Learn, Tensorflow, and Huggingface, with a focus on NLP, A/B Testing, Machine Learning, and Predictive Data Analytics. | Data | 7 |
| Senior Software Developer – Healthcare Analytics & AI Senior Software Developer focused on building high-scale, cloud-based data processing pipelines for healthcare analytics and AI solutions. The role involves leveraging LLMs and AI agents to modernize EHR and RCM systems, improve clinical decision support, revenue optimization, and workflow automation. | DataAgent | 7 |
| Senior Engineer – Data Platforms & Artificial Intelligence Senior Engineer focused on Data Platforms and Artificial Intelligence, partnering with various teams to design and deploy Oracle Cloud architectures. The role involves driving customer consumption of Oracle cloud services by accelerating adoption, with a focus on applying AI/ML/LLMs to data platforms, and utilizing RAG, vector databases, and fine-tuning. | DataAgent | 7 |
| Principal Member of Technical Staff-Bay Area Design, develop, and debug software for databases and cloud services, focusing on SQL extensions and implementing data structures/algorithms to accelerate query performance. Apply Machine Learning algorithms to automate query processing tasks like result caching, partitioning, and clustering. Analyze and improve feature performance and scalability, contributing to complex, research-centric work in efficient SQL query execution. Provide technical direction and mentorship. | Data | 7 |
