AI/ML Engineer - Post-Deployment

Mayo Clinic; Rochester (MN); Hybrid; USD 116,000 - 168,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision plans

HSA/FSAs

Retirement package

Job summary

Mayo Clinic in Rochester, MN is hiring an AI/ML Engineer – Post-Deployment Governance. You will translate governance policy into functional requirements for TRex, dashboards, and related governance technology, collaborating with multiple teams to ensure traceability, evidence lineage, and compliant workflows.

You will elicit requirements from policy reviews, define reusable content models, and contribute to governance-acceptable releases while coordinating with AIA Governance Technologies and

Qualifications

• Master’s degree in engineering, computer science, mathematics, health science, or a related field with 1 year experience, or a bachelor’s degree with 3 years of experience.
• Experience applying AI and machine learning in production environments or similar regulated healthcare tech.
• Skill in cloud infrastructure environment and software development tools.
• Experience with large, complex, and heterogeneous data sets, preferably in healthcare.
• Knowledge of AI/ML frameworks and ability to communicate complex concepts.

Responsibilities

• Elicit and prioritize requirements from policy reviews and governance priorities, maintain a traceable backlog and roadmap.
• Translate governance policy and evidence needs into user stories, data definitions, and acceptance criteria.
• Define reusable TRex content models and evidence objects preserving traceability across metrics and versions.
• Develop dashboard and portfolio-reporting requirements supporting PDRS status and governance visibility.
• Review content and evidence prepared by governance teams, document corrections and changes as needed.
• Partner with governance tech on feasibility, prototypes, acceptance criteria, and release readiness.
• Perform governance acceptance of workflows, dashboards, and reporting features with defect tracing and release conditions.
• Convert recurring findings into scalable patterns and communicate requirements clearly.

Skills

AI/ML techniques

Healthcare technology

Cloud infrastructure

Data analytics

Cross-functional collaboration

Education

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

Bachelor's degree with 3 years of experience

Tools

TRex

Governance dashboards

PDM/PDRS workflows

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.

Location Info

• 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

AI/ML Engineers in AI Validation & Monitoring (AVM) apply data, systems, computer science, clinical workflow, and governance expertise to help ensure that post-deployment monitoring, reporting, and lifecycle evidence for clinical AI products is traceable, decision-ready, and supported by scalable governance technology. They work with AIA Governance Operations, AIA Governance Technologies, clinical and product teams, data and analytics partners, IT, architecture, patient safety, legal and regulatory functions, vendors, and other stakeholders to translate approved AIA Governance Policy, PDM and PDRS requirements, and evidence expectations into practical workflows, specifications, and review outcomes.

As the AI/ML Engineer - Post-Deployment Governance, with the functional assignment of PDRS TRex and Governance Technology Partnership, you will convert approved PDM and PDRS, evidence-lineage, reviewer, and policy requirements into functional requirements for TRex, dashboards, and related governance technology. You will support subject-matter review of PDM and PDRS assessment content when tooling, telemetry, data availability, evidence lineage, reporting workflow, or technology constraints affect governance adequacy; define workflows, evidence objects, required fields, decision states, business rules, traceability, and governance-acceptance criteria; and partner with AIA Governance Technologies on feasibility, backlog refinement, prototypes, user acceptance, release readiness, and defect impact.

• Eliciting and prioritizing requirements from approved policy, PDM and PDRS assessment reviews, recurring evidence and workflow gaps, Product Lead feedback, and post-deployment governance priorities; maintaining a traceable requirements backlog and prioritized roadmap recommendations.
• Translating governance policy and evidence needs into user stories, workflow specifications, data definitions, required fields, decision states, business rules, acceptance scenarios, and functional test cases.
• Defining reusable TRex content models and evidence objects that preserve policy-to-workflow and requirement traceability across metrics, sources, owners, cadence, product and model versions, limitations, actions, and handoffs.
• Developing dashboard and portfolio-reporting requirements that support PDRS status, evidence confidence, conditions, escalation, change and retesting, ownership, next actions, and decision-ready visibility.
• Reviewing PDM and PDRS content and supporting evidence prepared by AIA Governance Operations when tooling, telemetry, data availability, evidence lineage, or reporting workflow is material; documenting required corrections, limitations, and technology or evidence changes.
• Partnering with AIA Governance Technologies on technical feasibility, backlog refinement, prototypes, acceptance criteria, user-acceptance testing, release readiness, and assessment of defects or proposed changes against approved governance requirements.
• Performing governance acceptance of implemented workflows, evidence objects, dashboards, and reporting features; identifying policy-impacting defects, traceability gaps, and release conditions while preserving Governance Technology ownership of technical build and run.
• Converting recurring review findings into scalable TRex patterns, dashboard specifications, vendor expectations, enterprise data needs, templates, and technology priorities, and communicating requirements and findings clearly to technical and non-technical stakeholders.

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 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 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

• A Ph.D. or other doctorate degree is preferred.
• 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 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.
• Experience with healthcare industry informatics standards, best practices, and common data models
• Demonstrated hands-on experience translating AI governance and requirements into TRex workflows, evidence objects, business rules, dashboards, user stories, acceptance criteria, functional tests, and release-readiness assessments.

Exemption Status

Exempt

Compensation Detail

$116,043.20 - $168,292.80/ 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.