University of Michigan

Data and AI Engineer

University of Michigan$100K — $120K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or similar field
  • 5 to 7 years of systems/software programming experience in a business setting
  • Experience with EHR platforms, especially Epic/MiChart
  • Familiarity with large language model (LLM) APIs
  • Experience using Linux/Unix environments for research computing
  • Experience handling sensitive data regulated by HIPAA
  • Knowledge of HL7 FHIR standards for health data interoperability.

Responsibilities

  • Design, build, and maintain data pipelines and AI systems for research and clinical workflows.
  • Develop and manage containerized applications using Kubernetes (OpenShift) for secure deployments.
  • Integrate AI tools with institutional systems like MiChart and other research infrastructures.
  • Architect and maintain backend systems for AI-driven research tools.
  • Collaborate with researchers and clinicians to create production-ready systems.
  • Ensure compliance with institutional security, HIPAA, and data governance standards.
  • Create technical documentation for all systems and integrations.

Benefits

  • Excellent medical, dental, and vision coverage from day one.
  • 2:1 match on retirement savings.
Full Job Description
How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Job Summary

We're hiring a full-time Data and AI Engineer to design, build, and maintain the data systems, pipelines, and AI integrations that power research and clinical tools across Michigan Medicine. This role centers on data architecture, EHR data integration, database engineering, and technical consultation, with additional contributions to backend development, APIs, automation, and AI systems integration.

You'll sit at the intersection of data engineering and applied AI ? building robust, production-grade data pipelines, managing OpenShift/Kubernetes-based infrastructure, and integrating AI tools with platforms including Epic EHR, frontier and enterprise LLMs, and other services across the university. We're looking for a self-motivated engineer with strong experience in data systems development, container orchestration, and AI tool deployment who thrives in a collaborative, research-driven environment and enjoys solving complex technical problems that directly impact clinical and research outcomes.

This position is hybrid, based primarily from home with onsite opportunities in Ann Arbor, Michigan. A fully remote arrangement will be considered for exceptional candidates.

Responsibilities*

  • Serve as a primary technical resource for understanding and interpreting Michigan Medicine EHR data across a broad range of clinical, operational, and research domains.
  • Develop and maintain a detailed understanding of how Epic MiChart data is created, represented, integrated, and made available through systems such as Clarity, Caboodle, Chronicles, FHIR services, HL7 interfaces, and institutional data warehouses.
  • Investigate unfamiliar clinical, nursing, hospital, and administrative workflows to determine how the underlying data should be interpreted and used.
  • Design, build, and support real-time and batch healthcare-data integrations, including HL7 ADT, radiology, cardiology, laboratory, and other clinical interface feeds.
  • Work with institutional integration technologies and teams, including interface engines and messaging infrastructure, to ingest, transform, validate, and deliver clinical data.
  • Serve as a data consultant to researchers, clinicians, analysts, and software engineers by helping them identify appropriate data sources, understand data limitations, and design effective data-driven solutions.
  • Independently research complex data questions while recognizing when clinical, operational, Epic, or infrastructure subject-matter experts should be engaged to validate assumptions and conclusions.
  • Review proposed data and system designs, challenge assumptions when appropriate, and recommend solutions that improve accuracy, maintainability, scalability, and alignment with institutional standards.
  • Design and review database schemas, tables, views, stored procedures, and data-access patterns that support application-development and research initiatives.
  • Partner with software engineers early in the application-development process to ensure database structures and data-access approaches are well designed rather than added after application development is underway.
  • Support backend and API development associated with data platforms, real-time data services, research applications, and AI-enabled tools.

Required Qualifications*

Systems Programmer/Analyst Sr
  • Bachelor?s degree in Computer Science, Software Engineering, a related field, or equivalent experience.
  • Demonstrated knowledge of EHR data and the relationships among clinical workflows, system configuration, operational documentation, and downstream reporting or research data.
  • Experience consuming or supporting HL7 clinical interface feeds.
  • 3-5 years of experience designing database structures for research applications, clinical applications, analytics systems, or AI-enabled tools.
  • Proficiency in Python or equivalent languages for data engineering and systems development.
  • Familiarity with large language model (LLM) APIs and AI tool deployment.
  • Experience working with sensitive and confidential data regulated by HIPAA.
  • Strong communication skills, both oral and written, with the ability to work across technical and non-technical teams.


Systems Programmer/Analyst Intermediate
  • Bachelor?s degree in Computer Science, Software Engineering, a related field, or equivalent experience.
  • 2-3 years of experience investigating data questions, validating findings, and working with subject-matter experts to resolve uncertainty.
  • General knowledge of EHR data and experience working with multiple clinical or operational data domains.
  • Experience investigating data questions, validating findings, and working with subject-matter experts to resolve uncertainty.
  • Experience with relational database design, SQL development, data integration, and data-quality validation.
  • Familiarity with Epic, HL7, FHIR, healthcare APIs, interface feeds, or comparable healthcare-data technologies.
  • Proficiency in Python or equivalent languages for data engineering and systems development.
  • Familiarity with large language model (LLM) APIs and AI tool deployment.
  • Strong communication skills, both oral and written, with the ability to work across technical and non-technical teams.


Desired Qualifications*

Systems Programmer/Analyst Sr
  • Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field
  • Experience working with EHR platforms, particularly Epic/M i Chart integrations
  • Familiarity with large language model (LLM) APIs and AI tool deployment
  • Experience with Linux/Unix environments for research computing
  • Experience working with sensitive and confidential data regulated by HIPAA
  • Familiarity with HL7 FHIR standards for health data interoperability

Systems Programmer/Analyst Intermediate
  • Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field
  • Experience working with EHR platforms, particularly Epic/MiChart integrations
  • Familiarity with large language model (LLM) APIs and AI tool deployment
  • Experience with Linux/Unix environments for research computing
  • Experience working with sensitive and confidential data regulated by HIPAA
  • Familiarity with HL7 FHIR standards for health data interoperability

What Benefits Can You Look Forward To?

Excellent medical, dental, and vision coverage effective on your very first day

2:1 match on retirement savings

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.

Job Detail

Job Opening ID

281248

Working Title

Data and AI Engineer

Job Title

Systems Programmer/Analyst Sr

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Hybrid

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

Exec Vp Med Affairs

Department

MM AI&DHI

Posting Begin/End Date

9/08/2026 - 9/22/2026

Career Interest

Information Technology

About University of Michigan

The University of Michigan is a public research university in Ann Arbor, Michigan. It is the state's oldest university and the flagship campus of the University of Michigan system. The University of Michigan was founded in 1817 in Detroit, as the Catholepistemiad, or University of Michigania, 20 years before the territory became a state. The school moved to Ann Arbor in 1837 onto 40 acres (16 ha) of what is now known as Central Campus. Since its establishment in Ann Arbor, the university campus has expanded to include more than 584 major buildings with a combined area of more than 34 million gross square feet (781 acres or 3.16 km²), and has two satellite campuses located in Flint and Dearborn. The University of Michigan is a founding member of the Association of American Universities.
Learn more about University of Michigan
Size
50,000 employees
Industry
Founded
1817

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