AI Governance Engineer — Post-Deployment & Validation

Mayo Clinic; Rochester (MN); Hybrid; USD 93,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision plan

HSA/FSAs

Retirement plan

Job summary

Mayo Clinic is seeking an Associate AI/ML Engineer - Post-Deployment Governance to join the IT AI Validation & Monitoring team in Rochester, MN. You will perform quantitative analyses, mapping metrics to sources, and supporting portfolio dashboards under guidance from senior staff.

The role emphasizes governance, data quality, and evidence-based review with cross-functional collaboration across data teams, governance operations, and product owners in a hybrid work setting.

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.
• Skill in AI/ML techniques and frameworks.
• Ability to collaborate across diverse teams and communicate complex concepts.

Responsibilities

• Produce standardized quantitative evidence for post-deployment monitoring.
• Verify metrics, data sources, formulas, units, baselines, targets, thresholds, cadence, lineage.
• Support PDM/PDRS appendices, dashboards, and recurring reporting.
• Apply established formulas and interpretation methods to data.
• Identify data-quality gaps and escalate when needed.
• Collaborate with governance operations and product owners.

Skills

AI/ML application

Cloud infrastructure

Collaboration across teams

Data engineering practices

Communication & time management

Education

Bachelor's degree in engineering, CS, health science

Tools

Cloud platforms (AWS/GCP/Azure)

ML frameworks (TensorFlow, PyTorch)

Job description

Mayo Clinic is seeking an Associate AI/ML Engineer - Post-Deployment Governance to join the IT AI Validation & Monitoring team in Rochester, MN. You will perform quantitative analyses, mapping metrics to sources, and supporting portfolio dashboards under guidance from senior staff.

The role emphasizes governance, data quality, and evidence-based review with cross-functional collaboration across data teams, governance operations, and product owners in a hybrid work setting.