Principal Member of Technical Staff

Oracle Oracle · Enterprise · United States

Seeking a Principal Member of Technical Staff to design and build high-scale, cloud-based data processing pipelines for healthcare data. The role involves leveraging LLMs and AI agents to create solutions for clinical decision support, revenue optimization, and workflow automation, focusing on low latency and end-to-end feature ownership from data ingestion to insights.

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 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)
  • 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
  • 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

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
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
  • Experience building high-scale distributed data systems
  • Experience with LLMs, prompt engineering, and agent frameworks

Other signals

  • LLMs
  • AI agents
  • data processing pipelines
  • healthcare data
  • low latency