Principal AI Expert Software Engineer – Healthcare Analytics

Oracle Oracle · Enterprise · United States

This role focuses on building and scaling cloud-based data pipelines and AI-driven workflows, specifically using LLMs and AI agents to modernize healthcare systems for tasks like clinical decision support and revenue optimization. It involves end-to-end feature ownership from data ingestion to insights, with an emphasis on performance, scale, and low latency.

What you'd actually do

  1. Design and develop scalable data pipelines and AI-driven workflows.
  2. Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions, automation).
  3. Own end-to-end features from data ingestion through transformation and on to insights.
  4. Optimize systems for performance, scale, and low latency.
  5. Mentor junior engineers and contribute to design decisions.

Skills

Required

  • 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.

Nice to have

  • 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).

What the JD emphasized

  • 8+ years of relevant software engineering experience
  • 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 owning all aspects of the development, characterization and deployment of features spanning multiple components.

Other signals

  • modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents
  • design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data
  • leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation