Senior Member of Technical Staff

Oracle Corporation; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Oracle Corporation is seeking highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines for healthcare data, enabling low-latency analytics across EHR and RCM systems.

You will work with LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation, while applying best practices in cloud, data engineering, and MLOps.

Qualifications

• BS/MS in Computer Science or equivalent.
• 5+ years of software engineering experience.
• Proficient in Python and Java.
• Strong SQL knowledge.
• Deep expertise in ETL, data transformation, and data modeling (Spark, SQL).
• Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Experience delivering end-to-end software functionality from design to production.
• Experience collaborating across multiple teams to build components for larger systems.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience blending hands-on coding with AI-driven prototyping to deliver reliable code.
• Experience using models like ChatGPT or Claude to boost productivity.

Responsibilities

• Build and optimize 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.

Skills

Python

Java

SQL

LLMs

Prompt engineering

Agent frameworks

Data engineering

Education

BS/MS in Computer Science

Tools

Spark

Cloud platforms (OCI/AWS/Azure)

Job description

We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.

Internal Responsibilities

Responsibilities

• As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Key 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.

Mandatory Qualifications:

• BS/MS in 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.

Preferred Qualifications:

• 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).

External Responsibilities

Responsibilities

• As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Key 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.

Mandatory Qualifications:

• BS/MS in 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.

Preferred Qualifications:

• 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).