AI/ML Engineer - Shared Services Automation-Remote

Company: Jobs via Dice

Location: Rochester, MN (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-04

About this role

Job Description
The AI/ML Engineer is a hands-on builder of AI-enabled and agentic solutions for Finance Shared Services. This role develops, deploys, and supports ML models, LLM-based components, and agentic automations that extend the program beyond traditional RPA. The engineer works closely with the Solution Architect, Senior AI/ML Engineer, and delivery team to bring AI capabilities into production with the reliability and governance expected of enterprise Finance systems.


Key Responsibilities:

  • Develop and deploy ML models, LLM-enabled components, and agentic automations supporting Finance Shared Services use cases.
  • Integrate AI components with UiPath automations using Maestro, AI Center, Document Understanding, and Communications Mining where appropriate.
  • Partner with Solution Architects and the Senior AI/ML Engineer on architecture alignment, reuse, and standards.
  • Own responsible model lifecycle practices: evaluation, monitoring, drift detection, and retraining.
  • Contribute to engineering practice: code review, source control, CI/CD, and testing.
  • Support production solutions, triage incidents, and deliver root-cause fixes.
  • Stay current on emerging AI capabilities and surface candidate applications for Finance.

Qualifications
A master's degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience,


OR


A bachelor's degree with 3 years of experience.


Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology.


Skill in cloud infrastructure environment and software development tools.


Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.


Skill in AI/ML techniques and frameworks.


History of collaborating across diverse teams and effectively communicating complex technical concept...

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