Senior AI Expert Software Engineer – Healthcare Analytics
Oracle - United States, US
Posted Jun 4, 2026
Benefits
- Parental leave
- 14 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 14 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Offered From the posting source checked Jun 20, 2026
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked May 7, 2026
- Salary
- $79K-$210K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
24% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior AI Expert Software Engineer – Healthcare Analytics United States, US About the Role At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems. You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery. Key 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. Mandatory Qualifications: • BS/MS in in Computer Science or equivalent. • 5+ years of relevant software engineering experience. • Strong software engineering skills in Python/Java. • Strong knowledge of SQL. • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL) • Experience building high-scale distributed data systems. • Cloud experience (OCI/AWS/Azure). •
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