Principal AI/ ML Ops Engineer
Oracle - United States, US
Posted Jun 10, 2026
Benefits
- Parental leave
- 14 weeks Verified - employer source source checked May 7, 2026
- Non-birth-parent leave
- 14 weeks Verified - employer source source checked May 7, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Offered Verified - from the job 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
- $100K-$235K Verified - from the job posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $55,390 U.S. median for this role
- Projected growth (BLS Employment Projections)
- -0.1% - Decline
202% above the BLS role benchmark for teaching and education aggregate.
Posted salary is far from this role benchmark; treat it as low confidence.
Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
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
Principal AI/ ML Ops Engineer United States, US 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
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