AI/ML Architect - AI Program

Mayo Clinic • Rochester, MN

1d

About The Position

AI/ML Architects at Mayo Clinic serve at the leading edge of data, systems, and computer sciences, embodying the convergence of technological expertise and visionary innovation. In our dynamic and collaborative environment, AI/ML Architects are pivotal in transforming healthcare, advancing patient care through cutting-edge AI solutions. By joining our team, you will navigate the complexities of AI technologies, data architecture, and system integration, crafting scalable, impactful AI models and infrastructures that drive forward medical breakthroughs and improve patient outcomes. As part of our dedicated team, you will work alongside world-class professionals, leveraging state-of-the-art resources to solve real-world challenges. Our commitment to excellence and innovation provides an unparalleled platform for professional growth and the opportunity to make significant contributions to the field of healthcare. If you are passionate about harnessing the power of AI to make a difference, we invite you to explore our AI/ML Architect job family, which includes AI/ML Architect, Senior AI/ML Architect, and Principal AI Architect positions. Each role offers a unique opportunity to influence the future of healthcare technology and improve lives on a global scale.

Requirements

• A master’s degree engineering, computer science, health science, or a related field with 7 years of experience, or a bachelor’s degree with 9 years of experience
• A minimum of 7 years experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology.
• Demonstrated leadership in managing complex projects, 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 programming languages, such as Python, Java, C++, JavaScript, etc.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Deep understanding of cloud computing platforms (GCP, AWS, Azure).
• 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.
• Acute awareness of best practices in the data engineering, data science, AI Engineering, and MLOps communities.

Nice To Haves

• Advanced AI, machine learning, and data analytics knowledge applicable to solution architecture and development.
• 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 adapt these to different project environments effectively.
• Demonstrated risk assessment and management capability, establishing robust testing strategies for technology solutions.
• 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.
• Doctoral degree preferred.

Responsibilities

• Providing strategic direction and technical leadership for AI Engineering initiatives.
• Designing and implementing AI models and solutions that address complex healthcare challenges, improving patient care and outcomes.
• Collaborating with cross-functional teams, including data scientists, engineers, and healthcare professionals, to seamlessly integrate AI technologies into our systems.
• Stay abreast of the latest AI trends and technologies, applying this knowledge to drive continuous innovation within our projects.
• 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.
• 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.
• Leading the design, integration, and standardization of AI-driven solutions that enhance patient care and clinic operations.
• Overseeing the engineering of systems and subsystems crucial for developing and deploying AI solutions.
• Providing consultative services to departments and divisions, offering insights and strategies to address complex business problems.
• Providing mentorship, guidance, and technical leadership to junior engineers within the AI development team. May have supervisory responsibilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior