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.

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.

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.

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 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.

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.

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.

Principal Software Engineer role focused on building the next generation of cloud-native EHR platforms, incorporating AI/ML and AIOps for automation and intelligent solutions within the healthcare domain. Requires strong distributed systems, Java, microservices, Kubernetes, and cloud experience, with a focus on applied AI in production.

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 lifecycle management, observability, incident response, and operational efficiency. The role involves designing, building, and operating reliable infrastructure, advancing automation, and exploring AI-driven solutions for DevOps/SRE use cases within multi-cloud environments.

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.

The Field CTO for Oracle Healthcare is a senior technical and architectural leader responsible for guiding healthcare, payer, and life sciences organizations through complex modernization initiatives. This role focuses on enterprise architecture, AI/data platforms, and cloud adoption, acting as a trusted advisor to C-suite executives. Key responsibilities include leading executive-level technology discussions on AI adoption and data strategy, guiding customers in designing AI-enabled analytics and real-world data platforms, shaping AI use cases across various healthcare domains, and influencing Oracle's product roadmap. The role requires deep understanding of healthcare operations, cloud platforms, data architecture, and AI, with a strong background in leading large-scale technology initiatives.

The Field CTO for Oracle Healthcare is a senior technical and architectural leader responsible for guiding healthcare, payer, and life sciences organizations through complex modernization initiatives. This role focuses on enterprise architecture, AI/data platforms, and cloud adoption, acting as a trusted advisor to C-suite executives. Key responsibilities include leading executive-level technology discussions on AI adoption and data strategy, guiding customers in designing AI-enabled analytics and real-world data platforms, shaping AI use cases across various healthcare domains, and influencing Oracle's product roadmap. The role requires deep understanding of healthcare operations, cloud platforms, data architecture, and AI, with a strong background in leading large-scale technology initiatives.

Lead Semantic Layer Engineer to build a governed semantic and knowledge foundation for AI agents and end users, enabling AI-driven analytics use cases like natural-language search and report generation.

The Principal Software Developer will drive the data platform for Oracle Health, focusing on building and delivering scalable data processing, storage, and retrieval systems for AI agentic and traditional workloads. This role involves system and component design, implementation, and ensuring operational excellence in a regulated healthcare environment.

This role is for a Cloud Presales Engineer with strong experience in development architectures, enterprise integrations, and modern technologies. The primary responsibility is to design, present, and position technological solutions that integrate microservices, iPaaS, streaming, no-code development, and AI agents to meet client business and technical needs. The role involves developing and executing Proofs of Concept (PoCs) and technical demonstrations using AI agent frameworks like CrewAI, LangChain, and LangGraph for enterprise use cases, and supporting the sales cycle from requirement gathering to closing.