At Oracle Health, we’re building the future of healthcare - cloud-native Healthcare
Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform
how hospitals and physicians work - enabling better patient care while ensuring accurate,
timely reimbursement.
We are modernizing Electronic Health Record and Revenue Cycle Management systems
using LLMs and AI agents, helping clinicians focus more on patients and less on administrative
burden.
We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data
processing pipelines that ingest, transform, and analyze massive volumes of healthcare data
with low latency, powering business insights and analytics across EHR and RCM systems.
You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical
decision support, revenue optimization, and workflow automation while using AI-assisted
development tools to accelerate delivery.
Key Responsibilities
• Design and develop scalable data pipelines and AI-driven workflows.
• Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions,
automation).
• Own end-to-end features from data ingestion through transformation and on to
insights.
• Optimize systems for performance, scale, and low latency.
• Mentor junior engineers and contribute to design decisions.
Qualifications:
• BS/MS in in Computer Science or equivalent.
• 8+ years of relevant software engineering experience.
• Strong software engineering skills in Python/Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering: ETL, data transformation, data modeling (Spark,
SQL)
• Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Demonstrated competence as a Technical Lead / System Design of a non-trivial
SaaS/IaaS project spanning multiple functional areas.
• Demonstrated competence in taking ambiguous functional and/or product
requirements and partitioning them based on functional alignment.
• Experience with working with technical partners to translate ambiguous requirements
into actionable technical requirements and per-component designs.
• Experience with owning all aspects of the development, characterization and
deployment of features spanning multiple components.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to
rapidly prototype, test, iterate, and deliver reliable code.
• Experience using the ChatGPT, Claude or similar models on a routine basis to improve
productivity.
Preferred Qualifications:
• Experience with agentic architectures or GenAI platforms.
• Background in healthcare or digital health systems.
• Understanding of EHR systems and RCM workflows.
• Familiarity with healthcare coding standards (ICD/CPT).
Internal Responsibilities
As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems.
External Responsibilities
As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems.
