Job Description

Other Responsibilities May Include:
• Providing strategic direction and technical leadership for complex AI Engineering initiatives.
• Designing and implementing enterprise-wide AI models and solutions that address complex healthcare challenges, improving patient care and outcomes. This includes evaluating and guiding the use of foundation models, multimodal learning approaches, vision encoders, and AI architectures that leverage clinical text, medical imaging, genomic, and other healthcare data sources.
• Collaborating with cross-functional teams, including data scientists, engineers, and healthcare professionals, to seamlessly integrate AI technologies into our systems.
• Evaluating and recommending new technologies to enable continuous innovation across Mayo Clinic, including advances in multimodal AI, vision-language models, foundation models, representation learning, model interpretability, and emerging AI architectures relevant to healthcare.
• Contributing to the development of scalable and efficient data architectures, ensuring the integrity and accessibility of healthcare data.
• Participating in the entire lifecycle of AI solution development, from concept to deployment, including problem identification, system architecture design, implementation, and evaluation. Providing architectural guidance on model selection, multimodal fusion strategies, evaluation methodologies, explainability, scalability, and deployment considerations.
• Leading the collaboration with cross-functional teams, including clinicians, translation engineers, software engineers, and product managers, to gather requirements, assess feasibility, define the scope, requirements, and deliverables of AI projects.
• Providing consultative services to departments and divisions, offering insights and strategies to address complex business problems.
• Evaluating and guiding architectural decisions for advanced AI systems, including multimodal foundation models, vision-language architectures, representation learning approaches, embedding strategies, and early-, mid-, and late-fusion methodologies for heterogeneous healthcare data.
• Providing mentorship, guidance, and technical leadership to junior architects and engineers within the AI enablement team. May have supervisory responsibilities.

This is a full-time remote position within the United States.

Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

Qualifications

Required Qualifications:
• A master's degree engineering, computer science, health science, or a related field with 10 years of experience, or a bachelor's degree with 12 years of experience.
• At least 10 years of experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showing an acute understanding of healthcare technology.
• Demonstrated leadership in managing large projects involving complex architectures, with a proven ability to navigate intricate project requirements and deliver successful outcomes.
• Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
• Proficiency in multiple programming languages, such as Python, Java, C++, JavaScript, etc.
• Considerable experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Experience using large language models as part of a solution.
• Deep understanding of cloud computing platforms (GCP, AWS, Azure).
• Rich understanding of data structures, algorithms, and Good Machine Learning Practices (GMLP)
• A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
• Demonstrated risk assessment and management capability, establishing robust testing strategies for technology solutions.
• Deep understanding of data use and data security in healthcare.
• Acute awareness of best practices in the data engineering, data science, AI Engineering, and MLOps communities.

Preferred qualifications:
• A PhD or other doctorate degree is preferred.
• Advanced AI, machine learning, and data analytics knowledge applicable to solution architecture and development, including multimodal AI, computer vision, foundation models, representation learning, and model evaluation methodologies.
• Demonstrated experience developing and deploying machine learning systems in the cloud (e.g., Google Cloud, AWS, Microsoft Azure).
• In-depth knowledge of healthcare domain, including clinical workflows, electronic health records (EHR), medical terminologies, regulatory requirements (e.g., HIPAA, GDPR), and industry standards (e.g., HL7, DICOM).
• Understanding of regulatory standards and compliance frameworks, with the ability to effectively adapt these to different project environments.
• Excellent communication, collaboration, and stakeholder management skills, with the ability to effectively engage with diverse stakeholders and translate complex technical concepts and results to non-technical audiences.

About the Team

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.