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 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 Machine Learning Engineer Lead Principal Machine Learning Engineer at Oracle, responsible for defining, building, and operating next-generation AI systems on OCI. This role focuses on setting architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. Requires deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems. |
| AgentServe |
| 9 |
| Senior Principal AI Agent / ML Engineer (OCI) Senior Principal AI Agent / ML Engineer role focused on defining, building, and operating next-generation AI agentic systems on Oracle Cloud Infrastructure (OCI). This involves setting architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. The role requires deep distributed systems experience combined with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails, with a strong emphasis on shipping, scaling, and operating reliable, secure, observable, and cost-aware AI platform systems. | AgentServe | 9 |
| Principal AI Agent / ML Software Engineer (OCI) This Principal AI Agent / ML Software Engineer role focuses on defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). The role involves setting architectural and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. Key responsibilities include designing and delivering scalable agentic AI systems with reasoning, planning, tool use, and orchestration capabilities, as well as building production-grade services for various AI components like memory, retrieval, and evaluation. The role also emphasizes leading architecture across distributed services, driving technical strategy, integrating AI agents with enterprise systems, establishing AgentOps and LLMOps practices, and evaluating emerging generative AI technologies. A strong background in distributed systems, AI-native engineering, and cloud-native infrastructure is required, along with experience in Python and orchestration frameworks. | AgentServe | 9 |
| Principal AI Agent / ML Software Engineer (OCI) This role focuses on defining, building, and operating next-generation AI agent platforms on OCI. It involves setting architectural and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. The engineer will be responsible for orchestrating LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails, shipping, scaling, and operating reliable, secure, observable, and cost-aware AI platform systems. | AgentServe | 9 |
| Senior Principal AI Agent / ML Software Engineer (OCI) Senior Principal AI Agent / ML Software Engineer role focused on defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This role involves setting architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. Requires deep distributed systems experience combined with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems. | AgentServe | 9 |
| Principal AI Agent / ML Software Engineer (OCI) Principal AI Agent / ML Software Engineer role focused on defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This involves setting architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. The role requires deep distributed systems experience combined with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services, with an emphasis on shipping, scaling, and operating reliable, secure, observable, and cost-aware AI platform systems. | AgentServe | 9 |
| Senior Principal AI Agent / ML Software Engineer (OCI) Senior Principal AI Agent / ML Software Engineer role focused on defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This role involves setting architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. The ideal candidate will have deep distributed systems experience combined with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems. | AgentServe | 9 |
| Principal AI Agent / ML Software Engineer (OCI) This role focuses on defining, building, and operating next-generation AI agent platforms on OCI. It involves setting architectural and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. The engineer will be responsible for orchestrating LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails, shipping, scaling, and operating reliable, secure, observable, and cost-aware AI platform systems. | AgentServe | 9 |
| Snr Director, Applied Science Lead a high-impact organization responsible for advancing Oracle’s multimodal GenAI strategy and ensuring the infrastructure, capacity, reliability, governance, and operating model needed to deliver those capabilities at scale. This includes setting the roadmap, leading development of multimodal GenAI platform capabilities, owning infrastructure and capacity management for large-scale GenAI workloads, and ensuring reliability, performance, and operational excellence. The role also involves cross-functional collaboration, governance, safety, responsible AI practices, customer and business impact, budget management, and talent leadership. | AgentServe | 9 |
| Principal Applied Scientist Principal Applied Scientist role focused on designing and building ML and GenAI solutions for the healthcare domain, encompassing LLM prompt/workflow optimization, fine-tuning, evaluation, and deployment of agentic systems. The role involves owning the end-to-end lifecycle from prototyping to production, collaborating with domain experts, product managers, and engineers to deliver scalable, reliable, and secure services with a strong emphasis on LLMs and Generative AI. | AgentServe | 9 |
| Senior Principal AI Agent / ML Software Engineer (OCI) Senior Principal AI Agent / ML Software Engineer at Oracle (OCI) responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure. This role focuses on setting architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications. The ideal candidate will have deep distributed systems experience combined with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails. The role emphasizes shipping, scaling, and operating reliable, secure, observable, and cost-aware AI platform systems. | AgentServe | 9 |
| 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 |
| Software Developer - Architect This role leads the architectural transformation of an Approvals platform from legacy BPM to agentic, LLM-powered workflows. The individual will design, build, and own prompting infrastructure, orchestration layers, multi-agent systems, and fine-tuning pipelines, establishing LLMOps practices and resolving production issues. Requires 4-5+ years of hands-on ML experience shipping LLM-based systems to production, with deep expertise in fine-tuning and agentic system design. | AgentPost-train | 9 |
| Principal Applied Scientist Seeking a Principal Applied Scientist with expertise in Responsible AI to research and develop scalable safeguards for foundation models (LLMs/LMMs), influencing trustworthy AI systems across products. Responsibilities include research in fairness, robustness, explainability, safety, designing safeguards, red teaming, fine-tuning/alignment, defining evaluation protocols, and cross-functional collaboration. | 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 |
| Principal Member of Technical Staff Principal Member of Technical Staff role focused on developing next-generation Healthcare Agents using generative AI and cloud-native technologies. Responsibilities include leading agentic AI workflow strategy, design, and implementation, serving as a subject matter expert, influencing roadmaps, and owning platform capabilities for data ingestion, retrieval, and AI-driven workflows within the healthcare domain. | AgentData | 8 |
| Consulting Member of Technical Staff This role focuses on leading the strategy, design, and implementation of Agentic AI workflows for healthcare applications, leveraging generative AI and cloud-native technologies. Responsibilities include owning platform capabilities for data ingestion, processing, retrieval, conversational search, and AI-driven healthcare workflows, while also influencing AI researchers and domain experts, and advising leadership on strategy, security, privacy, and compliance. | Agent | 8 |
| [REMOTE] Principal Applied Scientist Principal Applied Scientist at Oracle, focused on inventing, implementing, and deploying state-of-the-art machine learning algorithms and systems for enterprise products and services. This role involves building prototypes, exploring new solutions, and applying data science to create scalable solutions, with a strong emphasis on customer needs and product delivery. Responsibilities include developing models, working with NLP, NLU, ASR, CV, designing experiments, optimizing risk/profitability/customer experience, and ensuring fairness and explainability. The role also involves mentorship, writing production-quality code, and driving independent research. | ShipData | 8 |
| Senior Principal Applied Scientist (OCI/GEN AI) Senior Principal Applied Scientist role at Oracle Cloud Infrastructure (OCI) focusing on Generative AI and Data Analytics. The role involves architecting, building, and deploying AI models and solutions, with a strong emphasis on Large Language Models (LLMs) and Agents. It requires research, development, training, and collaboration with cross-functional teams to integrate AI capabilities into enterprise products. The position also involves technical leadership and mentoring. | AgentPost-train | 8 |
| Software Developer 4 Software Developer 4 at Oracle, focusing on building advanced AI applications for network automation, optimization, and security. The role involves designing and implementing AI/ML systems, including training and serving models, RAG, and fine-tuning, with a strong emphasis on Python, ML frameworks, and distributed systems. | ServeAgent | 8 |
| Software Developer 4 Software Developer 4 role at Oracle focused on building advanced AI applications for network automation, optimization, and security. Responsibilities include designing and implementing AI/ML systems for serving and training models, incorporating research on AI agents and inference, optimizing training and inference workloads, leading initiatives in RAG and LLM fine-tuning, and developing GPU-accelerated AI pipelines. Requires strong Python, ML frameworks, distributed systems, and MLOps experience. | ServePost-train | 8 |
| Principal Machine Learning Engineer This Principal Machine Learning Engineer role at Oracle Cloud Infrastructure (OCI) focuses on building state-of-the-art training infrastructure for massive GPU clusters and designing agentic systems for enterprise-scale deployment. The role involves the entire software and model development lifecycle, including training, fine-tuning, model serving, and evaluation, with a strong emphasis on distributed systems, cloud architecture, and scaling heterogeneous CPU/GPU training infrastructure for large multimodal frontier models. | ServePost-train | 8 |
| Software Developer 4 IC4 Principal Developer for OCI Enterprise Engineering's Enterprise AI Platforms Team. Focuses on building, integrating, deploying, and supporting enterprise-grade AI platforms, including generative AI experiences, agentic AI capabilities, engineering automation, and secure integrations with AI providers. Key areas include Agent AI, AI-assisted software engineering, and Harness-based engineering workflows, with responsibilities spanning architecture, platform development, integration, prototyping, and ensuring security, governance, and operational excellence for AI services and agents. | Agent | 8 |
| Senior Systems Software Engineer Senior Systems Software Engineer at Oracle to design and implement generative AI solutions using LLMs, develop scalable inference and fine-tuning pipelines for enterprise AI applications, and integrate these capabilities into Oracle Cloud (OCI) services. Requires 5+ years of AI/ML engineering experience with a focus on generative AI, strong programming skills, and hands-on experience with LLMs and prompt engineering. | ServePost-train | 8 |
| Senior AI Agent Engineer Senior AI Agent Engineer to build production AI agents and workflow automation for analytics and reporting, integrating with enterprise systems for use cases like SQL generation, data exploration, and narrative creation. Requires strong software engineering and hands-on LLM application building experience. | Agent | 8 |
| Principal AI/LLM Agent Architect Seeking a Principal AI Agent Architect to define and build the technical foundation for production AI agents, LLM-enabled workflow automation, and governed AI integration. This role owns the end-to-end architecture for agent-based systems interacting with enterprise tools and data, defining patterns for orchestration, tool use, grounding, evaluation, and security. The architect will also establish reusable platform standards and serve as a founding technical leader for the AI team. | Agent | 8 |
| Lead Principal Platform Software Engineer Lead Principal Platform Software Engineer to architect and build an AI harness and toolkit for enterprise partners, enabling them to develop and integrate AI-powered applications. The role focuses on platform capabilities, developer experience, AI integrations, evaluation workflows, and application enablement, requiring strong platform engineering, architectural judgment, and practical experience with AI/LLMs in production. | AgentEval Gate | 7 |
| Principal Platform Software Engineer Principal Platform Software Engineer to design and build an AI harness platform for GIU partners, enabling easier AI adoption with reusable tooling and services. The role focuses on core platform capabilities, LLM integration, prompt workflows, evaluation support, and agentic patterns, requiring strong platform engineering experience and familiarity with AI/LLM application patterns. | Agent | 7 |
| Sr Software Engineer - Cloud Automation & AI Systems Software Engineer to design and build platform capabilities for an AI-driven incident management system (IRCaaS) within Oracle Cloud Infrastructure. The role focuses on automation, orchestration, AI-enabled workflows, and cloud-native services to transform incident management from manual to automated. | Agent | 7 |
| 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 |
| 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 |
| Principal Software Engineer Principal Software Engineer role focused on building AI-native engineering systems, internal platforms, and operational tooling using AI-assisted development, coding agents, and automation-first workflows. The role emphasizes leveraging LLMs and agentic tools to accelerate software creation, improve engineering velocity, and solve operational problems within Oracle Cloud Infrastructure. | Agent | 7 |
| Senior AI Solutions Engineer – Customer Success and Deployment This role is for a Senior AI Solutions Engineer focused on customer success and deployment of LLMs on Oracle Cloud Infrastructure (OCI), particularly in government and sovereign environments. The engineer will act as a technical interface, guiding customers through deployment, optimization, and operational phases, ensuring AI solutions meet mission requirements and performance expectations. Responsibilities include solution architecture, performance analysis, RAG implementation, and cross-functional collaboration. | AgentServe | 7 |
| GPU/CPU Systems Engineer This role focuses on the engineering and development of AI hardware platforms, specifically GPU/CPU systems, within Oracle's Cloud Infrastructure. The engineer will be involved in platform definition, development oversight, system integration, performance testing, and characterization, working closely with internal teams and external suppliers to scale and optimize Oracle's AI Cloud solutions. The role emphasizes hardware and system engineering expertise for next-generation AI platforms. | Serve | 7 |
| [REMOTE] Principal Platform Software Engineer- Oracle Clinical Digital Assistant This role focuses on leading the design and implementation of the AI-Assist platform, which involves backend infrastructure for data ingestion, processing, and retrieval, as well as integrating search and NLP capabilities. It requires strong software engineering fundamentals, cloud-native development experience, and knowledge of data architecture and Oracle Database. The role also involves ensuring data security and privacy within healthcare regulations and mentoring junior engineers. | ServeAgent | 7 |
| Principal Platform Software Engineer Principal Platform Software Engineer for the HDI Agent team at Oracle Health, focusing on building AI foundations and experiences. Responsibilities include leading the design, development, and optimization of AI/ML applications/models at scale, collaborating with cross-functional teams, ensuring data quality and ethical AI use, and staying updated on AI/ML advancements like LLMs and RAG. | Agent | 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 |
| Senior AI Site Reliability Developer 3 This role focuses on building and operating the infrastructure for an AI-first Electronic Health Record platform. The Senior AI Site Reliability Developer will design, build, and operate reliable, scalable infrastructure and data pipelines, with a strong emphasis on advancing automation, observability, and AI-assisted reliability practices. This includes exploring and applying Generative AI and agentic AI for incident response, system resilience, and operational efficiency, as well as managing cloud environments and data technologies. | ServeAgent | 7 |
| GDI - AI Program Manager AI Program Manager for Oracle Consulting, leading AI/ML delivery efforts for DoD customers. Focuses on integrating cloud, AI/ML, data, and edge computing into operational solutions, managing cross-functional teams, and ensuring AI capabilities meet DoD requirements in challenging environments. | ShipServe | 7 |
| Senior Software Engineer – AI-Native Platform Engineering Senior Software Engineer role focused on building AI-native cloud platforms and distributed systems for healthcare analytics, leveraging Generative AI and agent-based technologies for operational tooling and automation. | AgentServe | 7 |
| Principal Engineer - AI Networking Principal Engineer focused on designing, implementing, and optimizing RDMA-based networking infrastructure critical for large-scale AI training and inference workloads. This role involves deep systems programming, high-performance networking, and distributed communication systems to enhance the performance and scalability of AI infrastructure. | Serve | 7 |
| Senior Principal Engineer - AI Networking Senior Principal Engineer role focused on AI networking infrastructure, specifically RDMA and distributed communication systems for large-scale GPU clusters supporting AI training and inference. The role involves architecture, design, implementation, and performance optimization of software components. | Serve | 7 |
| Senior Principal Engineer - AI Networking Senior Principal Engineer role focused on AI networking infrastructure, specifically RDMA and distributed communication systems for large-scale GPU clusters supporting AI training and inference. The role involves architecture, design, implementation, and performance optimization of software components. | Serve | 7 |
| Principal AI/ ML Ops Engineer This Principal AI/ML Ops Engineer role at Oracle Health focuses on building high-scale, cloud-based data processing pipelines and AI-driven workflows using LLMs and AI agents to modernize healthcare systems. The role involves designing and developing these systems, optimizing them for performance and low latency, and owning features end-to-end, with a secondary focus on data engineering aspects. | AgentData | 7 |
| Principal Member of Technical Staff Seeking a Principal Member of Technical Staff to design and build high-scale, cloud-based data processing pipelines for healthcare data. The role involves leveraging LLMs and AI agents to create solutions for clinical decision support, revenue optimization, and workflow automation, focusing on low latency and end-to-end feature ownership from data ingestion to insights. | AgentData | 7 |
| Principal Software Engineer Principal Software Engineer at Oracle focused on building LLM/AI agent-based solutions for healthcare use cases like clinical decision support and revenue optimization. The role involves designing and developing scalable data pipelines, owning end-to-end features, and optimizing systems for performance and low latency. Requires strong software engineering and data engineering skills, with experience in LLMs, prompt engineering, and agent frameworks. | AgentData | 7 |
| Principal Software Engineer - AI Integrations Principal Software Engineer focused on building AI-native engineering systems, internal platforms, and operational tooling using AI-assisted development, coding agents, and automation-first workflows. The role emphasizes integrating LLMs and agentic workflows into daily development to accelerate delivery and solve operational problems. | Agent | 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 |
| [Remote] Principal Software Developer- Agent Toolkits & Cloud Infrastructure, Healthcare AI Principal Software Developer role focused on building toolkits and cloud infrastructure for AI agents and machine learning models within Oracle's new Healthcare AI organization. The role involves developing Python/Java toolkits, optimizing cloud services for ML model deployment, and implementing asynchronous communication patterns for agents, with a focus on scalability, reliability, and security in OCI. | Agent | 7 |
