Sr AI Expert Software Engineer – Healthcare Analytics Ic3

Oracle Oracle · Enterprise · United States

This role focuses on building and enhancing data pipelines and contributing to LLM/agent-based features within healthcare analytics. It involves working with large-scale healthcare data, EHR/RCM systems, and leveraging AI tools for development and problem-solving.

What you'd actually do

  1. Build and enhance data pipelines, ETL workflows, and transformations.
  2. Contribute to LLM/agent-based features and analytics use cases.
  3. Work with EHR/RCM datasets and support KPI/dashboard development.
  4. Learn and apply best practices in cloud, data engineering, and LLMOps.

Skills

Required

  • BS/MS 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).
  • Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
  • Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
  • Experience with LLMs, prompt engineering, and agent frameworks.

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

  • Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
  • Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.

Other signals

  • Leverage LLMs, AI agents, and modern data platforms
  • Contribute to LLM/agent-based features and analytics use cases
  • Experience with LLMs, prompt engineering, and agent frameworks