[REMOTE] Principal Software Engineer - Healthcare Analytics & AI

• 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.

• 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).

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.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

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. 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.

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.