Principal AI Expert Software Engineer – Healthcare Analytics

Oracle

Quick summary

Work type: On-site
Location: Austin, TX
Salary: $99,600–$234,600 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k

This role $167k

$83k most similar roles pay here $259k

This role pays less than 70% of similar roles. Most pay $162,375–$235,750 — the shaded band above. At the midpoint, this role pays about $167k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

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

Oracle currently has 606 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 466 roles with salary data.

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At a glance

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

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As a Principal AI Expert Software Engineer in the Healthcare Analytics team, you will be an individual contributor responsible for building large language model (LLM) and agent-based solutions to address critical business challenges such as revenue leakage and patient readmissions. Your day-to-day tasks include owning end-to-end features from data ingestion through transformation to delivering actionable insights. You should have at least 8 years of relevant software engineering experience, strong SQL knowledge, and proven expertise in technical leadership roles for complex SaaS or IaaS projects. Additionally, you must excel in translating ambiguous requirements into clear technical specifications and managing the development and deployment of features across multiple components. The ideal candidate will be proficient in Java, Python, and distributed systems, with a focus on enhancing productivity through innovative solutions in healthcare analytics.

Skills

Python Java SQL ETL Distributed Systems Dashboard Development

What you'll do

Develop LLM/agent-based solutions to address business challenges like revenue leakage and readmissions.
Manage full lifecycle of features from data ingestion to transformation and insight generation.
Translate ambiguous requirements into clear technical specifications for development teams.
Design system architecture for SaaS/IaaS projects involving multiple functional areas.
Lead the development, characterization, and deployment of complex features across components.

What we're looking for

8+ years of relevant software engineering experience in SaaS/IaaS projects.
Strong knowledge and hands-on experience with SQL, Python, and Java.
Proven ability to design and lead complex system architectures across multiple areas.
Experience translating ambiguous requirements into clear technical specifications.
Ownership of feature development from data ingestion through deployment.