Principal AI Expert Software Engineer – Healthcare Analytics IC4

Oracle

Quick summary

Work type
On-site
Location
Salary
$99,600–$223,400 / yr
Posted
30 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $162k
$81k most similar roles pay here $276k

This role pays less than 79% of similar roles. Most pay $167,287–$246,150 — the shaded band above. At the midpoint, this role pays about $162k versus about $207k for comparable roles.

Based on 240 similar postings.

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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 467 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 353 roles with salary data.

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At a glance

TL;DR · Principal AI Expert Software Engineer – Healthcare Analytics IC4

As a Principal AI Expert Software Engineer at Oracle Health, you will join a dynamic team of innovators focused on developing cloud-native healthcare solutions powered by advanced AI. Your primary responsibilities include designing scalable data pipelines and AI-driven workflows to address critical business challenges such as revenue leakage and patient readmissions. You will own the entire feature lifecycle from data ingestion through transformation and analysis, ensuring systems are optimized for performance and low latency. Additionally, you will mentor junior engineers and contribute to strategic design decisions. The ideal candidate has deep expertise in Python or Java, SQL, and data engineering with a focus on ETL processes using tools like Spark. Experience with large-scale distributed data systems, cloud platforms (OCI/AWS/Azure), and LLMs is essential. Familiarity with healthcare-specific technologies such as EHR systems and RCM workflows is highly beneficial for this role that operates at the national scale.

What you'll do

  • Design and develop scalable AI-driven workflows for healthcare solutions.
  • Build large language model (LLM) and agent-based systems to address business challenges.
  • Optimize system performance, ensuring scalability and low latency.
  • Mentor junior engineers and contribute to technical design decisions.
  • Own the development lifecycle of features from data ingestion to deployment.

What we're looking for

  • BS/MS in Computer Science or equivalent with 7+ years of software engineering experience.
  • Strong skills in Python and/or Java for developing scalable systems.
  • Deep expertise in data engineering including ETL, data transformation, and modeling using Spark and SQL.
  • Experience building high-scale distributed data systems on cloud platforms (OCI/AWS/Azure).
  • Demonstrated ability to design complex SaaS/IaaS projects and translate ambiguous requirements into technical designs.

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