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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| Principal AI Agent / ML Software Engineer (OCI) Principal AI Agent / ML Software Engineer at Oracle (OCI) responsible for defining, building, and operating next-generation AI systems, focusing on production-grade agentic AI platforms, autonomous workflows, and scalable inference infrastructure. Requires deep distributed systems experience 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 |
| 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 |
| 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 |
| Principal Data Scientist This Principal Data Scientist role focuses on developing next-generation scalable, AI-driven platforms, specifically in Generative AI systems, LLMs, RAG, and AI Agent frameworks. The role involves deep understanding and practical experience with agent concepts like planning, tool use, memory management, and collaboration, aiming to integrate data and intelligence within enterprise architecture. | Agent | 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 |
| 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 |
| 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 |
| [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 |
| 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 |
| 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 |
| Principal Infrastructure Engineer The Principal Core Infrastructure Engineer is responsible for leading the design, deployment, and support of large-scale AI, GPU, and HPC infrastructure solutions on Oracle Cloud Infrastructure (OCI). The role partners closely with customers throughout the entire engagement lifecycle, from solution architecture and Proof of Concept (POC) through production deployment, optimization, and ongoing operational support. As a trusted technical advisor, the engineer provides guidance on cloud-native architectures, Kubernetes, Slurm, AI platforms, automation, and best practices while working closely with Product Management, Engineering, Support, Sales, and partners to deliver successful customer outcomes. In addition, the role contributes to Oracle's technical leadership by developing reusable assets, automation, reference architectures, and technical enablement content that accelerate customer adoption and strengthen Oracle's position in AI and cloud infrastructure. | ServeAgent | 7 |
| Principal Infrastructure Engineer Principal Infrastructure Engineer focused on designing, deploying, and supporting large-scale GPU/HPC infrastructure and AI platforms on Oracle Cloud Infrastructure (OCI). The role involves pre-sales technical consulting, solution engineering for AI workloads, agentic systems, and robotic AI platforms, and customer enablement. | ServeAgent | 7 |
| 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 |
| 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 |
| 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 |
| 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 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 |
