Advanced Integration Analyst-Developer - Large Language Models

Location: Remote - FL

Department: IS Informatics

Work Type: Full Time

Shift: Shift 1/8:00:00 AM to 4:30:00 PM

Minimum to Midpoint Pay Rate:$43.59 - $56.66 / hour

Summary

The Advanced Integration Developer Analyst Large Language Models (LLM) is responsible for the development, integration, and oversight of LLM-based features across enterprise applications. This role supports the design and maintenance of LLM solutions and ensures their effective use within clinical and operational workflows. The analyst will collaborate with cross-functional teams to optimize LLM performance, safety, manage lifecycle updates, and ensure alignment with organizational goals and governance standards.

Responsibilities

• Design, develop, and maintain custom LLM solutions to support clinical, operational, and administrative use cases.
• Oversee LLM features embedded in enterprise applications, ensuring proper configuration, performance, and compliance.
• Collaborate with analysts, developers, and operational stakeholders to identify opportunities for LLM integration.
• Monitor and evaluate LLM outputs for accuracy, relevance, and safety, implementing improvements as needed.
• Document LLM workflows, configurations, and governance protocols.
• Stay current with advancements in LLM technologies and vendor roadmaps to inform strategic planning.
• Ensure all LLM implementations adhere to data privacy, security, and ethical standards.
• Support testing, validation, and deployment of LLM features across platforms.

Experience

Required:

• Strong understanding of healthcare workflows, especially provider and nursing operations.
• Experience working with cross-functional teams to implement and support technology solutions.
• Familiarity with LLM concepts, architecture, and deployment strategies.

Preferred:

• Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or similar.
• An understanding of NLP, prompt engineering, or model fine-tuning.
• Bachelors or Masters degree in Computer Science, Health Informatics, or related field.