AI Expert Software Engineer – Healthcare Analytics Ic5

Oracle Oracle · Enterprise · United States

AI Expert Software Engineer focused on building scalable, cloud-based data processing pipelines and AI-driven workflows for healthcare analytics, leveraging LLMs and AI agents to modernize EHR and RCM systems.

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

  • Python
  • Java
  • SQL
  • ETL
  • data transformation
  • data modeling
  • Spark
  • distributed data systems
  • Cloud computing (OCI/AWS/Azure)
  • Technical leadership
  • System design
  • LLMs
  • prompt engineering
  • agent frameworks

Nice to have

  • agentic architectures
  • GenAI platforms
  • healthcare analytics
  • EHR systems
  • RCM workflows
  • healthcare coding standards (ICD/CPT)

What the JD emphasized

  • 12+ years of relevant software engineering experience
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
  • Experience building high-scale distributed data systems
  • 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

Other signals

  • LLMs
  • AI agents
  • data pipelines
  • healthcare analytics