[REMOTE] Principal Software Engineer – Healthcare Analytics & AI

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 b