Oracle Health & AI (OHAI) is a newly formed business unit committed to transforming the healthcare industry through our expertise in IaaS and SaaS. Our mission is to deliver patient-centered care and make advanced clinical tools accessible globally ( learn more ). Were assembling a team of innovative technologists to build the next-generation health platform a greenfield initiative driven by entrepreneurship, creativity, and energy. If you thrive in a fast-paced, innovative environment, we invite you to help us create a world-class engineering team with a meaningful impact.
The OHAI Patient Accounting Analytics Team focuses on delivering cutting-edge reporting metrics and visualizations for healthcare financial data. Our goal is to transform healthcare by automating insurance and patient billing processes, helping optimize operations and reimbursement processes. Our solutions leverage a blend of reporting platforms across both on-premises and cloud infrastructure. As we expand reporting capabilities on the cloud and make use of AI, we re looking for talented professionals to join us on this exciting journey.
What?
We are seeking a hands-on Principal Member of Technical Staff with proven experience in NoSQL databases, machine learning, and AI/LLM (Large Language Model) design and implementation. In this role, you will design and maintain complex data pipelines, enable scalable AI solutions, and collaborate with multidisciplinary teams to advance our enterprise analytics and AI capabilities.
Minimum Qualifications
Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field.
8+ years of experience in data engineering, including 3+ years working with NoSQL databases.
Experience designing, implementing, and optimizing data architectures for large-scale analytics or AI/ML solutions.
Proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala).
Hands-on experience integrating and scaling machine learning models in production environments.
Familiarity with concepts and frameworks for LLM construction and deployment.
Solid understanding of data modeling, data structures, and distributed data systems.
Knowledge of data security, compliance, and privacy best practices. Excellent problem-solving and communication skills.
Preferred Qualifications
Experience with healthcare / financial systems.
Experience with cloud platforms and managed data/ML services (e.g., Oracle Cloud, AWS, Azure, GCP).
Experience working with vector databases and retrieval augmented generation (RAG) for LLMs.
Prior experience in enterprise, large-scale, or highly regulated environments.
Certifications in Data Engineering, Cloud, or AI/ML (preferred but not required).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full time