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 |
|---|---|---|
| Principal Software Engineer – AI and Health Analytics This Principal Software Engineer role at Oracle Health focuses on designing and building high-scale, cloud-based data processing pipelines and AI-driven workflows. The engineer will leverage LLMs and AI agents to modernize healthcare systems, focusing on use cases like clinical decision support and revenue optimization, while also owning end-to-end features from data ingestion to insights. | AgentData | 7 |
| Principal Software Engineer Principal Software Engineer role at Oracle Cloud Infrastructure (OCI) focused on building AI-native engineering systems. The role emphasizes using AI-assisted development, coding agents, and automation-first workflows for software creation, integrating LLMs, copilots, and agentic IDEs to improve engineering velocity, reliability, and scale. Responsibilities include designing and building scalable cloud-native systems, automation platforms, and intelligent operational tooling, while leveraging AI systems to accelerate delivery and automate tasks. |
| Agent |
| 7 |
| Principal Software Engineer Principal Software Engineer role at Oracle Cloud Infrastructure (OCI) focused on building AI-native engineering systems. The role emphasizes using AI-assisted development, coding agents, and automation-first workflows for software creation, integrating LLMs, copilots, and agentic IDEs to improve engineering velocity, reliability, and scale. Responsibilities include designing and building scalable cloud-native systems, automation platforms, and intelligent operational tooling, while leveraging AI systems to accelerate delivery and automate tasks. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer role at Oracle Cloud Infrastructure (OCI) focused on building AI-native engineering systems. The role emphasizes using AI-assisted development, coding agents, and automation-first workflows for software creation, internal platforms, operational tooling, and cloud-native services. Key responsibilities include integrating LLMs, copilots, and agentic workflows into daily development to accelerate delivery and automate tasks. | Agent | 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 |
| AI Expert Principal Software Engineer – Healthcare Analytics- Remote This role focuses on building AI-driven workflows and LLM/agent-based solutions for healthcare analytics, involving scalable data pipelines for ingestion, transformation, and analysis of large healthcare datasets. The engineer will optimize systems for performance and scale, and mentor junior engineers. | AgentData | 7 |
| Sr Principal TPM (IC5) – AI Infrastructure This role leads strategic, large-scale programs for AI infrastructure, focusing on GPU deliveries, capacity planning, and new product introductions. The TPM will define and drive execution frameworks, manage risks, and mentor other TPMs to ensure the scaling of AI infrastructure delivery and operations. | Serve | 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 |
| Senior Principal Network Development Engineer (IC5) – Backend NIC Qualification & NPI (OCI AI2 – Performance & NIC Engineering) Senior Principal Network Development Engineer focused on backend NIC qualification and NPI for AI superclusters. The role requires deep expertise in NIC architecture, distributed systems networking for AI/ML, and performance tuning to ensure RDMA performance, cluster scale, and workload isolation. Responsibilities include leading qualification strategies, defining validation methodologies, driving performance characterization, collaborating with vendors and internal teams, building automated validation frameworks, and establishing qualification gates for AI infrastructure. | Serve | 7 |
| Senior Software Development Engineer, AI Data Platform Senior Software Development Engineer focused on building and scaling AI/ML data platforms for enterprise customers, involving LLMs, agentic frameworks, RAG, and vector databases within the Oracle ecosystem. | AgentData | 7 |
| Lead Consulting Developer- Python, AI/ML, Distributed System, Microservices Lead Consulting Developer role focused on building and operating Generative AI, Agentic, and RAG systems, with experience in ML Ops pipelines and Python development for Oracle Health. | AgentData | 7 |
