Associate AI/ML Engineer Post-Deployment Governance (Hybrid)

Mayo Foundation for Medical Education and Research; Rochester (MN); Hybrid; USD 93,000 - 130,000; Full time

Benefits offered by this job

Hybrid work position

Competitive benefits

Job summary

Mayo Clinic in Rochester, MN seeks an Associate AI/ML Engineer to support AI governance, monitoring, and lifecycle evidence for post-deployment systems. You will collaborate with clinical and product teams to organize evidence, apply approved methods, and prepare decision-ready review materials to ensure safe, effective, and accountable use of AI in clinical settings.

This hybrid full-time role requires a bachelor’s degree in engineering or related field, familiarity with healthcare technology,

Qualifications

• Bachelor's degree in engineering, computer science, health science, or related field.
• Knowledge in applying AI/ML in production healthcare environments.
• Knowledge in cloud infrastructure and software development tools.

Responsibilities

• Prepare product-level evidence maps linking monitoring signals to sources and owners.
• Support readiness reviews for full implementation and post-deployment changes.
• Identify missing or conflicting evidence and escalate gaps for reviewers.
• Draft AVM comments and monitoring-readiness findings for review teams.
• Coordinate with product leads, owners, and platform partners for evidence and handoffs.
• Assist in documenting transitions, timelines, and responsibilities for lifecycle enablement.
• This vacancy is not eligible for sponsorship/ Mayo Clinic does not participate in F-1 STEM OPT extension.

Skills

AI/ML concepts

Healthcare knowledge

Cloud infrastructure

Data governance

Communication

Cross-functional collaboration

Regulatory awareness

Education

Bachelor's degree in engineering

Tools

TRex assessment

Job description

Mayo Clinic in Rochester, MN seeks an Associate AI/ML Engineer to support AI governance, monitoring, and lifecycle evidence for post-deployment systems. You will collaborate with clinical and product teams to organize evidence, apply approved methods, and prepare decision-ready review materials to ensure safe, effective, and accountable use of AI in clinical settings.

This hybrid full-time role requires a bachelor’s degree in engineering or related field, familiarity with healthcare technology,