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.

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.

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.

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.