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. Other Responsibilities May Include: - 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.