Senior Principal AI/ML Engineer - Deployment and Integrations
Mayo Clinic1 day ago
Rochester, MN, USAStaff+
Responsibilities
- Lead the full AI/ML lifecycle from ideation through production deployment for clinical and operational healthcare applications.
- Own the design, quality, integration, standardization, and operation of the deployment and integrations domain end to end.
- Lead component design, development, verification, validation, risk mitigation, and regulatory-quality activities for digital health technology products.
- Design, test, and maintain tools and automated software development and release pipelines for AI solutions.
- Define AI engineering, deployment, platform, tooling, and quality standards and best practices.
- Provide strategic direction for AI engineering initiatives, roadmap planning, project prioritization, and complex consultative engagements.
- Apply deep learning, natural language processing, computer vision, and large language models to healthcare data and use cases.
- Establish evaluation methodologies and performance metrics for effectiveness, usability, and real-world impact of AI solutions.
- Ensure compliance with ethical guidelines, regulatory requirements, data privacy standards, and healthcare industry practices.
- Translate clinical, user, and business requirements into AI solution designs and usability specifications.
- Mentor engineers and support training, technical workshops, knowledge sharing, and talent development.
- Publish and present AI development and translation results in peer-reviewed journals and conferences.
Requirements
- Master’s degree in engineering, computer science, mathematics, health science, or a related field with 9 years of relevant experience, or a bachelor’s degree with 11 years of relevant experience.
- At least 9 years of experience applying AI and machine learning in production healthcare or similarly regulated or technology-focused environments.
- Demonstrated leadership of complex projects and technical or quantitative teams in regulated environments.
- Expertise in AI/ML techniques and frameworks, data engineering, data science, AI engineering, and MLOps practices.
- Experience with cloud infrastructure, software development tools, large heterogeneous datasets, deployment pipelines, environment and release management, and enterprise systems integration.
- Preferred proficiency with Python, TensorFlow, PyTorch, scikit-learn, Keras, deep learning, natural language processing, and Generative AI.
- Hands-on experience integrating Microsoft 365 services, particularly SharePoint and Microsoft Graph API, with app registration and authentication through Microsoft Entra ID.
- In-depth knowledge of healthcare workflows, electronic health records, medical terminologies, regulatory requirements, industry standards, and common data models.
- Experience with quality engineering, regulatory standards, compliance frameworks, risk management files, and verification and validation strategies for digital health products.
- Experience with user-centered design, human factors engineering, usability testing, expert reviews, and evaluation methods.
- Strong communication, collaboration, stakeholder management, problem-solving, critical-thinking, and technical reporting skills.
- Experience mentoring and training less-experienced team members; a Ph.D. or other doctorate is preferred.
- Experience participating in standards organizations or implementing common data, development, and deployment standards is preferred.
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About Mayo Clinic
Mayo Clinic is a nonprofit academic medical center and health system providing hospital and specialty care, research, and medical education to patients globally. It operates major campuses in Rochester, Minnesota (headquarters), Phoenix/Scottsdale, Arizona, and Jacksonville, Florida, plus a regional health system across the Midwest. Revenue comes primarily from clinical services, complemented by research grants and education programs; specialties include heart care, cancer, transplantation, and neurosciences.