GenAI Health Systems Engineer — Transforming Patient Care

Rush University Medical Center; Chicago (IL); On-site; USD 51,000 - 85,000; Full time

Job summary

Rush University Medical Center is seeking an AI Applied Health System Engineer to develop and deploy innovative AI, GenAI, and ML solutions that improve patient care, operational efficiency, clinical research, and revenue cycle performance. You will collaborate with clinicians, engineers, data scientists, and business leaders to translate complex healthcare challenges into scalable, real-world solutions.

In this hands-on role, you’ll build GenAI applications and RAG pipelines, analyze healthcare

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Health Informatics, or a related field.
• 3-5 years of experience in AI/ML, data science, or software engineering.
• Experience working with Python and common AI/ML libraries.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Contribute to the design and development of AI, GenAI, and ML solutions for healthcare use cases, including data preparation, analytical modeling, prompt engineering, and RAG pipeline development.
• Support implementation of AI use cases across clinical, financial, and operational domains.
• Assist in building, testing, and deploying AI solutions using Python and modern AI frameworks.
• Process and analyze structured and unstructured healthcare data (e.g., clinical notes, claims, EHR, ADT feeds) for AI/ML applications.
• Collaborate with engineers and data scientists to integrate AI solutions into existing health system platforms.
• Work closely with clinical stakeholders and business partners to understand requirements and translate them into technical solutions.
• Support proof of concepts, pilots, and production deployments across healthcare domains.
• Participate in cross-functional teams to ensure solutions align with clinical workflows and organizational priorities.

Skills

AI/ML experience

Python

Analytical skills

Communication skills

Education

Bachelor's degree

Tools

LangChain

LlamaIndex

Embeddings

Vector databases

Azure

AWS

GCP

Job description

Rush University Medical Center is seeking an AI Applied Health System Engineer to develop and deploy innovative AI, GenAI, and ML solutions that improve patient care, operational efficiency, clinical research, and revenue cycle performance. You will collaborate with clinicians, engineers, data scientists, and business leaders to translate complex healthcare challenges into scalable, real-world solutions.

In this hands-on role, you’ll build GenAI applications and RAG pipelines, analyze healthcare