Senior AI Expert Software Engineer – Healthcare Analytics

Oracle Health is focused on building cloud-native healthcare solutions with AI at their core to improve patient care and streamline administrative processes. The role involves designing and building high-scale, cloud-based data processing pipelines for healthcare data, utilizing LLMs and AI agents to enhance decision support and workflow automation.

Responsibilities:

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

Requirements:

• 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
• 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
• 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)