Senior Software Engineer, Healthcare Analytics & AI (Cloud)

Oracle; Augusta (ME); On-site; USD 89,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) Plan

Paid time off

Parental leave

Employee stock purchase plan

Educational assistance

Job summary

Oracle Health is hiring experienced AI engineers to design and build high-scale, cloud-based data pipelines for EHR and RCM analytics. You will leverage LLMs, AI agents, and modern data platforms to enable clinical decision support, revenue optimization, and workflow automation.

You will work with large healthcare datasets, contribute to KPI/dashboard development, and apply best practices in cloud data engineering and LLMOps to deliver reliable, scalable solutions.

Qualifications

• BS/MS in Computer Science or equivalent required.
• 5+ years of software engineering experience.
• Strong Python and Java skills; solid SQL knowledge.
• Extensive experience in data engineering, ETL, Spark, and data modeling.
• Experience building high-scale distributed data systems on cloud (OCI/AWS/Azure).
• Experience with LLMs, prompt engineering, and AI agents.
• Ability to collaborate across multiple functions and deliver production-ready code.

Responsibilities

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

Skills

Python

Java

SQL

Data engineering

Spark

LLMs / AI

Distributed data systems

Cloud platforms

Education

BS/MS in Computer Science or equivalent

Tools

ETL tools

LLM platforms

Job description

Oracle Health is hiring experienced AI engineers to design and build high-scale, cloud-based data pipelines for EHR and RCM analytics. You will leverage LLMs, AI agents, and modern data platforms to enable clinical decision support, revenue optimization, and workflow automation.

You will work with large healthcare datasets, contribute to KPI/dashboard development, and apply best practices in cloud data engineering and LLMOps to deliver reliable, scalable solutions.