Senior Cloud AI Engineer - Healthcare Analytics

Oracle; Honolulu (HI); On-site; USD 89,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision

Paid time off

401(k) plan

Employee stock purchase plan

Job summary

Oracle Health is building cloud-native healthcare AI systems that ingest, transform, and analyze massive healthcare data to power clinical and operational insights. The role focuses on high-scale data processing with LLMs and AI agents to enable decision support, revenue optimization, and workflow automation.

The ideal candidate will design and implement data workflows end-to-end, collaborating across teams, applying best practices in cloud and data engineering, and accelerating delivery with

Qualifications

• BS/MS in Computer Science or equivalent required.
• 5+ years of software engineering experience.
• Strong Python and Java programming skills.
• Strong SQL and data engineering expertise (ETL, data modeling).
• Experience with Spark and distributed data systems.
• Cloud experience with OCI, AWS, or Azure.
• Experience delivering full lifecycle changes from design to production.
• Familiarity with LLMs, prompt engineering, and AI agent frameworks.
• Experience blending hands-on coding with AI-driven prototyping.
• Experience using ChatGPT/Claude models to improve productivity.

Responsibilities

• Build 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.
• Apply best practices in cloud, data engineering, and LLMOps.

Skills

Python/Java

SQL

Data engineering

ETL

Spark

LLMs/agents

Cloud platforms

Full lifecycle development

Cross-functional collaboration

AI-driven prototyping

ChatGPT/Claude usage

Education

BS/MS in Computer Science or equivalent

Job description

Oracle Health is building cloud-native healthcare AI systems that ingest, transform, and analyze massive healthcare data to power clinical and operational insights. The role focuses on high-scale data processing with LLMs and AI agents to enable decision support, revenue optimization, and workflow automation.

The ideal candidate will design and implement data workflows end-to-end, collaborating across teams, applying best practices in cloud and data engineering, and accelerating delivery with