Principal AI/ ML Ops Engineer

Location: United States

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.

Qualifications:
• BS/MS in in Computer Science or equivalent.
• 8+ 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). 
• Demonstrated competence as a Technical Lead / System Design of a non-trivial 
SaaS/IaaS project spanning multiple functional areas.
• Demonstrated competence in taking ambiguous functional and/or product 
requirements and partitioning them based on functional alignment.
• Experience with working with technical partners to translate ambiguous requirements 
into actionable technical requirements and per-component designs. 
• Experience with owning all aspects of the development, characterization and 
deployment of features spanning multiple components. 
• Experience with LLMs, prompt engineering, and agent frameworks. 
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to 
rapidly prototype, test, iterate, and deliver reliable code. 
• Experience using the ChatGPT, Claude or similar models on a routine basis to improve 
productivity. 

Preferred Qualifications: 
• Experience with agentic architectures or GenAI platforms. 
• Background in healthcare or digital health systems. 
• Understanding of EHR systems and RCM workflows. 
• Familiarity with healthcare coding standards (ICD/CPT).

IC4 Career Level

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

The ideal candidate is highly technical, particularly around ML and AI, but can lead across the full stack, along with good product sense and business understanding, to map the technology choices to the context of each initiative.