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 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.