AI Health Systems Engineer — GenAI & ML Solutions

Rush University Medical Center; Chicago (IL); Vor Ort; USD 58.000 - 85.000; Vollzeit

Zusammenfassung

Rush University Medical Center is seeking an AI Applied Health System Engineer to develop and deploy AI, GenAI, and ML solutions that improve patient care, operations, and revenue-cycle performance. In this hands-on role, you collaborate with clinicians, engineers, data scientists, and leaders to transform complex healthcare challenges into scalable, real-world solutions.

From building GenAI apps and RAG pipelines to analyzing healthcare data and integrating AI into enterprise systems, you will

Qualifikationen

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

Aufgaben

• 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
• Contribute to testing, validation, and performance monitoring of AI models and applications
• Document workflows, methodologies, and technical solutions to enable scalability and knowledge transfer
• Operate within established MLOps, governance, and compliance frameworks to ensure reliable and responsible AI solutions

Kenntnisse

AI/ML experience

Python programming

Analytical skills

Communication skills

Ausbildung

Bachelor’s degree in Computer Science, Engineering, Data Science, Health Informatics, or related field

Tools

LangChain

LlamaIndex

Azure

Jobbeschreibung

Rush University Medical Center is seeking an AI Applied Health System Engineer to develop and deploy AI, GenAI, and ML solutions that improve patient care, operations, and revenue-cycle performance. In this hands-on role, you collaborate with clinicians, engineers, data scientists, and leaders to transform complex healthcare challenges into scalable, real-world solutions.

From building GenAI apps and RAG pipelines to analyzing healthcare data and integrating AI into enterprise systems, you will