Senior AI Engineer — Healthcare Analytics & Data Platforms

Oracle

Juneau (AK)

On-site

USD 89,000 - 210,000

Full time

14 days+
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Medical, dental, and vision insurance
401(k) Savings Plan with company match
Paid time off and holidays
Stock Purchase Plan

Job summary

Oracle Health is seeking highly skilled AI engineers to design and build cloud-native data processing pipelines for healthcare data, leveraging LLMs and AI agents. You will work on high-scale systems supporting EHR and RCM analytics with low latency.

Responsibilities include ETL development, KPI/dashboard support, and applying best practices in cloud and LLMOps across a distributed data platform.

Qualifications

  • BS/MS in Computer Science or equivalent required.
  • 5+ years of relevant software engineering experience.
  • Strong skills in Python and Java.
  • Strong knowledge of SQL and data engineering (ETL, data modeling, Spark).
  • Experience building high-scale distributed data systems.
  • Cloud experience (OCI/AWS/Azure).
  • Experience with LLMs, prompt engineering and AI agent frameworks.
  • Ability to deliver end-to-end software from design to production.

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
Data engineering
LLM/AI
Cloud experience

Education

BS/MS in Computer Science or equivalent

Tools

Spark

Job description

Oracle Health is seeking highly skilled AI engineers to design and build cloud-native data processing pipelines for healthcare data, leveraging LLMs and AI agents. You will work on high-scale systems supporting EHR and RCM analytics with low latency.

Responsibilities include ETL development, KPI/dashboard support, and applying best practices in cloud and LLMOps across a distributed data platform.

Get your free, confidential resume review.

or drag and drop your file here.