AI/ML Engineer - Revenue Cycle Automation-Remote
Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.
- Target Role:AI/ML Engineer - Revenue Cycle Automation-Remote
- Employer:Mayo Clinic
- Work Mode:REMOTE
- Location:Remote (United States)
- Compensation:Competitive Global Remote Compensation (Official)
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
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 The AI/ML Engineer, a full-stack AI/ML architect for the Revenue Cycle pillar, responsible for both agentic solutions (UiPath Maestro, LLM orchestration, agent + bot + human-in-the-loop patterns) and predictive ML solutions. This role sets the AI architecture direction for Revenue Cycle, defines reference patterns, and collaborates with delivery teams to bring solutions from prototype to production. The ideal candidate is equally comfortable designing an agentic orchestration topology and shipping a production ML model. Key Responsibilities: Architect full-stack AI/ML solutions for Revenue Cycle, spanning agentic orchestration (UiPath Maestro, LLM agents, RPA bots, human-in-the-loop) and predictive ML. Define reference architectures, design patterns, and guardrails for AI use in Revenue Cycle, in partnership with enterprise architecture, security, and data governance. Lead design of high-complexity solutions such as agentic patient portal inbasket management, combining UiPath Maestro, AI agents, RPA bots, and human-in-the-loop oversight. Develop, evaluate, and productionize ML models using Python, modern ML libraries, and Mayo Clinic 's approved cloud
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
Official position sourced directly from Mayo Clinic's verified career portal.
Apply directly on Mayo Clinic's portal using the link above. Use "Track with Truth Teller" to log your submission timestamp and automated 7-day follow-up countdown in your dashboard.
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How do I apply for AI/ML Engineer - Revenue Cycle Automation-Remote at Mayo Clinic?▼
Click "Apply on Official Site" on this page to be routed directly to Mayo Clinic's official applicant tracking system (EXTERNAL). RoleNest connects you directly with ₹0 candidate fees and activates automated 7-day follow-up telemetry in your dashboard.
What is the compensation or stipend for this role?▼
The verified package for this role is Competitive Global Remote Compensation (Official) (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Python are encouraged to apply.
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Truth Teller tracks candidate application timestamps and recruiter response telemetry. If Mayo Clinic does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.
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