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.

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.

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.

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.

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.

This role focuses on designing and implementing AI/agentic frameworks and workflows to enhance developer productivity, particularly for large codebases, alongside networking and streaming analytics infrastructure within Oracle Database.

Senior Staff Engineer role focused on building and operating AI/agentic systems and workflows within Oracle's cloud infrastructure (OCI). The role involves leading architecture, implementation, and operation of distributed systems, with a strong emphasis on security, reliability, and responsible AI delivery. Key responsibilities include establishing agentic-first engineering workflows, building production AI/agent workflows (RAG, tool use, evaluations, orchestration), and applying secure-by-default and responsible AI practices. Requires deep experience in distributed systems, cloud platforms, security products, and practical experience with LLM/agent patterns and AI development tools.

This role focuses on designing and developing a next-generation data security platform for Oracle's AI Database, specifically addressing the security risks associated with autonomous AI agents. The engineer will lead the architecture, integrate with identity management, and establish security guidelines, with a strong emphasis on securing agentic applications, LLMs, and GenAI systems, including prompt injection defenses, data segmentation, and least-privilege policy design.

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.

Principal Software Developer to design and develop scalable data pipelines and AI-driven workflows, build LLM/agent-based solutions for business use cases, own end-to-end features, and optimize systems for performance, scale, and low latency. Requires strong software engineering and data engineering skills, cloud experience, and experience with LLMs and agent frameworks.

This role focuses on building scalable, cloud-based data processing pipelines and AI-driven workflows for healthcare analytics, specifically using LLMs and AI agents to modernize EHR and RCM systems. The primary focus is on developing and deploying LLM/agent-based solutions for business use cases, with a secondary emphasis on data engineering for these systems.

This role focuses on building and enhancing data pipelines and contributing to LLM/agent-based features within healthcare analytics. It involves working with large-scale healthcare data, EHR/RCM systems, and leveraging AI tools for development and problem-solving.

AI Expert Software Engineer focused on building scalable, cloud-based data processing pipelines and AI-driven workflows for healthcare analytics, leveraging LLMs and AI agents to modernize EHR and RCM systems.

Senior AI Expert Software Engineer role at Oracle Health, focusing on building cloud-native healthcare solutions using LLMs and AI agents. The role involves designing and enhancing high-scale data processing pipelines for healthcare data, contributing to LLM/agent-based features, and working with EHR/RCM systems. Requires strong software engineering and data engineering skills, cloud experience, and familiarity with LLMs and agent frameworks.

This role focuses on building and scaling cloud-based data pipelines and AI-driven workflows, specifically using LLMs and AI agents to modernize healthcare systems for tasks like clinical decision support and revenue optimization. It involves end-to-end feature ownership from data ingestion to insights, with an emphasis on performance, scale, and low latency.

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.

Principal Software Developer to design and develop scalable data pipelines and AI-driven workflows, build LLM/agent-based solutions for business use cases, own end-to-end features, and optimize systems for performance, scale, and low latency. Requires strong software engineering and data engineering skills, cloud experience, and experience with LLMs and agent frameworks.

Seeking an AI Platform Reliability Engineer to ensure the reliability, observability, and safety of AI agent platforms and AI-enabled analytics workflows in production. This role focuses on the operational foundation of AI systems, including monitoring, tracing, production evaluation, and quality safeguards, while also supporting data reliability use cases.

Principal Software Development Engineer focused on building and optimizing AI Data Platforms for enterprise customers, with experience in LLMs, agentic frameworks, RAG, and vector databases on OCI.

This Principal Member Technical Staff role at Oracle focuses on leveraging AI/ML to enhance cloud infrastructure and automation. The responsibilities include designing and implementing ML algorithms for failure detection, developing NLP/ML-powered ticket routing frameworks, and creating AI/ML tools for automated testing and incident reproduction. The role requires expertise in distributed systems, virtualized infrastructure, and highly available services, with a strong emphasis on applying AI/ML techniques to solve complex operational challenges within Oracle's cloud ecosystem.

The Principal Software Developer will focus on building and operating a high-performance GPU platform for AI/ML/HPC workloads within Oracle Cloud Infrastructure. This role involves designing and developing architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services to support large-scale distributed AI/ML/HPC workloads.

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.

Principal Product Manager to drive the end-to-end development of Clinical AI Agents, from concept to release. This role involves working with data science, engineering, and UX to explore opportunities, define training data requirements, guide model development, and ensure the delivery of safe and effective AI agents within healthcare applications.

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.

Principal Software Development Engineer focused on building and optimizing AI Data Platforms for enterprise customers, with experience in LLMs, agentic frameworks, RAG, and vector databases on OCI.

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.

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.

This role focuses on data analysis, reporting, and AI application within data center infrastructure build programs. The analyst will develop and improve reporting, analyze complex datasets, partner with stakeholders, build Excel models, automate tasks using coding, and support the development of AI-enabled reporting capabilities. The role requires strong analytical skills, coding experience, and the ability to work independently in a fast-paced environment.

Senior Site Reliability Engineer role at Oracle focused on supporting mission-critical services, with a strong emphasis on OCI tooling, distributed systems, production operations, automation, observability, and incident response. The role involves integrating AI-driven tools into observability platforms and incident management workflows, and partnering with AI Ops initiatives.

This is a 12-month internship program (Generation Oracle - GenO) in Chile for students in their final year of study, focusing on Customer Success Services (CSS). The role involves supporting advanced customer relationships, improving Oracle environments, and resolving technical issues. While it touches on pre-sales, innovation, and AI, the core is customer support and technical problem-solving within Oracle's ecosystem. The role is geared towards learning and gaining experience in technology, analysis, and new trends, including participation in technical proposals, product demos, and AI use cases, working with technical and commercial teams.

This Principal Software Engineer role focuses on building next-generation cloud-native EHR platforms for Oracle Health. The engineer will work with distributed systems, cloud infrastructure, and applied AI to create intelligent, scalable, and resilient healthcare solutions. Key responsibilities include architecting and building large-scale platforms, solving complex production issues, designing AI-driven automation and AIOps, and leading system design for scalability and reliability. The role requires deep Java expertise, strong debugging skills, and experience with microservices, Kubernetes, and cloud platforms. Mentoring other developers is also a key aspect.

This role guides healthcare organizations through EHR modernization and digital transformation, acting as a clinical interface for senior stakeholders. It focuses on integrating Oracle Health's cloud-based, AI-powered EHR ecosystem, advocating for clinicians and patients while ensuring AI solutions deliver improvements. The role involves shaping product design and development by translating customer insights and market trends into actionable product requirements.

This role focuses on building and optimizing AI infrastructure, specifically GPU control and data planes, to support large-scale customer AI workloads in a cloud environment. The goal is to ensure high performance, reliability, and scalability for AI compute resources.

This role focuses on Site Reliability Engineering for large-scale healthcare analytics platforms, with a significant emphasis on applying Generative AI and agentic AI to improve infrastructure management, observability, incident response, and operational efficiency. The candidate will design, build, and operate reliable infrastructure and data pipelines, and explore AI-assisted reliability practices.

Software Engineer/Architect to design and ship next-gen AI-enabled document APIs, enhance SQL/JSON engine features for JSON workloads, drive compatibility for Oracle API for MongoDB, and engage with customers migrating to Oracle. The role involves cross-cutting systems work and technical leadership, contributing to an AI-first trajectory within Oracle's AI infrastructure investments.

Product Manager for Oracle's Cloud Database Services, focusing on AI innovation. The role involves defining product vision, strategy, and roadmap, gathering requirements, and supporting go-to-market activities for enterprise cloud computing, data/database technologies, and AI technologies.

Senior Software Engineer focused on building high-scale, cloud-based data processing pipelines for healthcare analytics, leveraging LLMs and AI agents to modernize EHR and RCM systems.

Develops and designs fundamental architectural changes for a cutting-edge, ultra-high-performance GPU platform supporting AI/ML/HPC workloads, focusing on GPU delivery, health monitoring, triage automation, and diagnostic services for large-scale distributed systems.

Lead Data Architect for Oracle Health Advance, focusing on designing and developing analytics for a next-generation EHR insights platform. Responsibilities include defining data architectures, building data pipelines, integrating healthcare data, and collaborating with stakeholders to translate data into actionable intelligence. The role also involves mentoring junior team members and establishing best practices.

Software Developer role focused on building and operating ultra-high-performance GPU platforms for AI/ML/HPC workloads within Oracle Cloud Infrastructure. Responsibilities include designing and developing fundamental architectural changes for GPU delivery, health monitoring, testing, triage automation, and diagnostic services, operating at the intersection of bare metal hardware and full-stack orchestration frameworks. Requires strong distributed systems and Linux engineering skills.

This role focuses on building and operating ultra-high-performance GPU platforms for AI/ML/HPC workloads within Oracle Cloud Infrastructure. The responsibilities include designing and developing fundamental architectural changes for GPU delivery, health monitoring, testing, triage automation, and diagnostic services, essential for running distributed AI/ML/HPC workloads across thousands of GPUs. The role requires strong skills in distributed systems, Linux engineering, and experience with large-scale production systems.

Senior Manager role focused on operationalizing AI-assisted workflows within Business Operations. The role involves defining, prioritizing, building, validating, and enabling the adoption of AI-driven processes, translating manual tasks into repeatable AI-assisted operating workflows. It emphasizes cross-functional collaboration, team leadership, and defining operational metrics for AI initiatives.

Senior Software Developer role focused on building and enhancing data pipelines and contributing to LLM/agent-based features and analytics use cases within a healthcare context. Requires strong software engineering and data engineering skills, cloud experience, and experience with LLMs and agent frameworks.

Senior Software Developer role focused on building and enhancing data pipelines and contributing to LLM/agent-based features and analytics use cases within a healthcare context. Requires strong software engineering and data engineering skills, cloud experience, and experience with LLMs and agent frameworks.

AI Expert Senior Software Engineer focused on Healthcare Analytics, modernizing EHR and RCM systems using LLMs and AI agents. The role involves building high-scale, cloud-based data processing pipelines for healthcare data, powering business insights and analytics.

Senior Infrastructure & Reliability Engineer for Oracle's Health Data Intelligence team, focusing on SRE for large-scale healthcare analytics platforms. The role involves designing, building, and operating reliable infrastructure and data pipelines, with a significant emphasis on advancing automation, observability, and AI-assisted reliability practices. This includes exploring and applying Generative AI and intelligent automation for incident response, system resilience, and operational efficiency, as well as designing and implementing GenAI-powered or agent-based solutions for observability, incident triage, and infrastructure management.

This role focuses on demand planning for GPU infrastructure in AI/ML datacenters, bridging executive leadership, sales, and engineering to map customer requirements to datacenter capacity. It involves developing and iterating on long-range demand planning models, building demand plans based on strategic goals, and identifying/mitigating forecast risks. The role requires extensive experience in AI/ML datacenter capacity planning and project management, with a strong understanding of GPU infrastructure, networking, and supply chain logistics.

This role leads cost control for AI gigascale construction programs, focusing on data centers. It involves building a cost controls function, establishing processes, and using AI/advanced analytics to improve forecast accuracy, risk detection, and cost transparency. The role requires expertise in estimating, budgeting, forecasting, change management, and stakeholder leadership, with a focus on applying AI tools for performance insights within a construction and engineering context.