Senior AI Engineer: Healthcare Data, EHR/RCM Analytics

Ll Oefentherapie; Dover (DE); On-site; USD 140,000 - 200,000; Full time

Job summary

Oracle Health is modernizing health record and revenue cycle management systems with AI-enabled data processing and analytics. We’re seeking senior AI engineers to design cloud-based pipelines handling large EHR/RCM datasets, enabling KPI dashboards and insights.

You will apply LLMs, AI agents, and modern platforms to solve clinical decision support, revenue optimization, and workflow automation challenges, while prototyping with AI-driven tools for rapid delivery.

Qualifications

• BS/MS in Computer Science or equivalent.
• 5+ 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).
• Experience with creating major new functionality in a software system from design to production deployment.
• Experience collaborating across multiple functional areas to develop components that are part of a larger system.
• Experience with LLMs, prompt engineering, and agent frameworks.

Responsibilities

• Build and enhance data pipelines, ETL workflows, and transformations.
• Contribute to LLM/agent-based features and analytics use cases.
• Work with EHR/RCM datasets and support KPI/dashboard development.
• Learn and apply best practices in cloud, data engineering, and LLMOps.

Skills

Python

Java

SQL

ETL

Data Modeling

Spark

Distributed Systems

Cloud

LLM/AI

Prompt Engineering

Production Deployment

Team Collaboration

Education

BS/MS in Computer Science

Tools

OCI

AWS

Azure

Spark

Job description

Oracle Health is modernizing health record and revenue cycle management systems with AI-enabled data processing and analytics. We’re seeking senior AI engineers to design cloud-based pipelines handling large EHR/RCM datasets, enabling KPI dashboards and insights.

You will apply LLMs, AI agents, and modern platforms to solve clinical decision support, revenue optimization, and workflow automation challenges, while prototyping with AI-driven tools for rapid delivery.