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 |
| 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. |
| 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 |
| 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 Platform Software Engineer Lead Principal Platform Software Engineer role focused on building next-generation intelligent Oracle SaaS applications by integrating Agentic AI capabilities into full-stack development and cloud-native engineering. The role involves designing, developing, and deploying end-to-end features using Java and Python, leveraging Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE), and collaborating with AI/ML teams to deliver scalable, resilient, and AI-powered enterprise solutions. | Agent | 7 |
| Software Developer 3 Software Developer role focused on building AI-driven cybersecurity solutions within Oracle Cloud Infrastructure. The role involves designing and developing large-scale distributed systems, data pipelines, and cloud-native services that leverage GenAI, LLMs, and ML for threat detection and mitigation. Key responsibilities include architecting and building AI-powered applications and agents, ensuring scalability, security, and operational efficiency. | Agent | 7 |
| Senior Principal Software Engineer This role focuses on building intelligent systems, internal platforms, and operational tooling using AI-driven engineering practices, integrating LLMs, coding copilots, and agentic workflows to improve engineering velocity and reliability. The engineer will design and build scalable cloud-native systems, automation platforms, and intelligent operational tooling, leveraging AI-assisted development workflows and agentic workflows for rapid prototyping and productionizing solutions. Responsibilities include developing internal developer platforms, APIs, operational workflows, and AI-enabled engineering systems, improving engineering productivity through intelligent automation and orchestration, and mentoring engineers in AI-native development practices. | AgentServe | 7 |
| Software Developer 3 Software Developer 3 role focused on scaling and optimizing AI infrastructure components, specifically GPU control and data planes, for large-scale AI clusters. The role involves designing and developing distributed systems, providing technical leadership, and ensuring reliability and performance for customer AI workloads. | Serve | 7 |
| Software Developer 3 Software Developer 3 role focused on scaling and optimizing AI infrastructure components, specifically GPU control and data planes, for large-scale AI clusters. The role involves designing and developing distributed systems, providing technical leadership, and ensuring reliability and performance for customer AI workloads. | Serve | 7 |
| Software Development Snr Manager Seeking an experienced Senior Manager of Software Development to lead a team building agentic AI solutions for developer productivity. The role involves defining engineering vision, driving execution, and fostering innovation within a global organization. Requires strong leadership in software engineering, distributed systems, and platform development. | Agent | 7 |
| Product Manager/Strategy 3-ProdDev Product Manager to drive the creation of Semantic Agent Builder, an AI platform for Oracle's health applications. This role will focus on building a developer experience for engineers to create, validate, and publish AI agents using an AI-powered IDE and a semantic data platform. The role involves owning the strategy and delivery of an agentic development experience, collaborating with data science, engineering, and UX teams, and working within a regulated healthcare environment. | AgentEval Gate | 7 |
| Software Architect, OCI Networking Software Architect role focused on implementing AI/ML/LLM solutions for Oracle Cloud Infrastructure (OCI) Networking, specifically for a new greenfield project in India. The role involves architectural leadership across Control Plane and Data Plane, with a strong emphasis on adopting AI/ML for intelligent network operations, agentic workflows, and multi-agent systems. | AgentServe | 7 |
| Principal Member of Technical Staff Seeking an Engineer to design, build, and scale intelligent operational platforms using AIOps, ML, LLMs, observability, and automation for predictive and autonomous operations. Responsibilities include architecting AIOps capabilities like incident routing, anomaly detection, operational copilots, ChatOps, and automated remediation, integrating intelligence into operational workflows. | AgentServe | 7 |
| Software Developer 4 Software Developer to build foundational data systems for AI-native enterprise intelligence, focusing on evolving Oracle Database to support semantic retrieval, hybrid query execution, and AI-powered retrieval capabilities close to the data. This involves designing and building high-performance AI-powered retrieval primitives within the database kernel, developing scalable indexing algorithms, engineering hybrid retrieval capabilities, and building database-native support for advanced query features and AI retrieval for lakehouse environments. | ServeAgent | 7 |