Associate AI/ML Engineer- Post Deployment Governance

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

Benefits offered by this job

Medical plan options

Dental plan options

Vision plan options

Pre-Tax Savings: HSA and FSAs

Competitive retirement package

Job summary

Mayo Clinic is seeking an Associate AI/ML Engineer - Post-Deployment Governance to help validate enterprise AI governance metrics and data lineage. You will work under senior leads, collaborate with data teams, and contribute to PDM/PDRS content and portfolio dashboards.

Location is hybrid and must be within 100 miles of a Mayo Clinic campus; the role requires a strong foundation in AI/ML in healthcare, data mappings, and evidence-quality checks.

Qualifications

• Bachelor's degree in engineering, computer science, health science, or related field.
• Knowledge applying AI/ML in production environments within healthcare tech.
• Familiarity with cloud infrastructure and software development tools.
• Skilled in AI/ML techniques and frameworks.
• Ability to collaborate across diverse teams and explain technical concepts clearly.
• Understanding of data engineering, data science, AI Engineering, and MLOps.

Responsibilities

• Support enterprise clinical AI governance with quantitative evidence for post-deployment monitoring.
• Verify metrics, data sources, formulas, baselines, targets, and lineage.
• Prepare standardized summaries, dashboards, and recurring reports for governance reviews.
• Identify gaps in metrics and data quality; escalate complex methodological issues.

Skills

AI/ML in production

Cloud infrastructure

AI techniques & frameworks

Cross-functional collaboration

Data engineering basics

Strong communication

Education

Bachelor's degree in engineering, computer science, health science, or related field

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

City: Rochester
State: MN
Remote: NO
Department: Information Technology

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

Responsibilities

Associate AI/ML Engineers in AI Validation & Monitoring (AVM) support enterprise clinical AI governance by producing standardized, traceable quantitative evidence for post-deployment monitoring (PDM), post-deployment report summary (PDRS) review, recurring reporting, and portfolio visibility. Working under approved methods and the guidance of more senior AVM and quantitative leads, they collaborate with AIA Governance Operations, product and reporting owners, data teams, and other partners to verify metrics, data sources, formulas, units, baselines, targets, thresholds, cadence, subgroup information, limitations, and lineage.

As the Associate AI/ML Engineer - Post-Deployment Governance, serving in the functional assignment of Quantitative Analytics, PDRS, and Portfolio Support, you will perform calculations, metric and data-source mapping, baseline-to-target comparisons, trend analysis, subgroup summaries, and evidence-quality checks. You will support quantitative PDM/PDRS appendices, portfolio dashboards, recurring reporting, cross-product evidence analysis, and review of PDM/PDRS content prepared by the AIA Governance Operations. You will apply established formulas, metric definitions, thresholds, and interpretation methods, identify final adequacy, or provide final AVM concurrence recommendations.

• Mapping outcomes and governance requirements to metrics and data sources and maintaining metric-to-source and outcome-to-metric crosswalks with ownership, cadence, version, limitation, and lineage information.
• Performing approved calculations, baseline-to-target comparisons, trend analyses, subgroup summaries, and evidence-quality checks using established formulas, definitions, thresholds, and interpretation methods.
• Verifying source, formula, unit, cadence, baseline, target, threshold, limitation, version, and lineage information for PDM/PDRS appendices, recurring reports, and portfolio analyses.
• Preparing standardized quantitative summaries, Metrics and Data Source Appendix content, portfolio dashboard views, and reporting-status summaries for AVM and Governance Operations review.
• Reviewing draft PDM/PDRS quantitative content for completeness, internal consistency, traceability, and correct application of approved methods; documenting draft corrections, clarification questions, and evidence gaps.
• Identifying recurring metric, data-quality, ownership, lineage, threshold, subgroup, and reporting gaps across the portfolio and organizing themes for policy, training, template, dashboard, and tool improvement.
• Escalating disputed thresholds, uncertain interpretation, material risk signals, anomalous findings, or the need for a new analytical method to the assigned Principal, Engineer, or Senior reviewer rather than independently resolving non-routine methodology.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Qualifications

• A bachelor’s degree in engineering, computer science, health science, or a related field
• Knowledge in applying AI and machine learning in production environments, showcasing an understanding of healthcare technology.
• Knowledge in cloud infrastructure environment and software development tools.
• Skill in AI/ML techniques and frameworks.
• Skill in collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
• Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
• Strong interpersonal, communication, and time management skills.

Preferred Qualifications

• Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
• Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
• Ability to articulate complex technical concepts to diverse audiences, facilitating clear understanding and engagement from technical and non-technical stakeholders.
• Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends.
• Demonstrated hands‑on experience using the TRex assessment application and evaluation and development of clinical AI outcome measures using metrics, formulas, baselines, targets, thresholds, source lineage, trend and subgroup analyses.

Exemption Status

Exempt

Compensation Detail

$92,830.40 - $129,958.40 / year. Education, experience and tenure may be considered along with internal equity when job offers are extended.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

M-F 8am-5pm This is a hybrid position and must be located within 100 miles of a Mayo Clinic campus for occasional on‑site expectations based on business needs.

Weekend Schedule

NA

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" . Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter

Laura Percival