Senior Principal AI/Data Science Engineer

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We are seeking a Principal AI/Data Science Engineer with strong AI Solutions Engineering and Forward Deployed Engineering capabilities to accelerate the design, validation, productization, deployment, and adoption of AI-enabled healthcare solutions across AI Labs programs and pillars. This is a hands-on, stakeholder-facing technical leadership role. The individual will work directly with operating units, product teams, domain experts, and engineering organizations to understand ambiguous business and clinical problems, rapidly develop solution approaches, embed with delivery teams, and translate successful prototypes into secure, reliable, and scalable production solutions. The role combines AI/Data Science solution engineering with full-stack development, frontend and backend engineering, cloud platforms, enterprise integration, data engineering, MLOps, and end-to-end DevSecOps. Working knowledge of Generative AI is preferred and will support emerging requirements involving RAG, AI Agents, copilots, intelligent workflows, and AI-assisted product experiences. The position will serve as a technical bridge between AI innovation and real-world execution, strengthening delivery velocity, solution adoption, engineering governance, and the sustainable execution capacity of AI Labs at MEIC. A Day in the Life As a Principal AI/Data Science Engineer, you will: •         Engage directly with operating units, product leaders, clinicians, domain experts, and engineering teams to identify high-value problems and convert them into actionable AI solution opportunities. •         Operate as a Forward Deployed Engineer by embedding with stakeholder and delivery teams, rapidly understanding workflows, data, constraints, and success measures, and driving solutions from discovery through adoption. •         Lead technical discovery, requirements clarification, feasibility assessments, solution framing, rapid prototyping, demonstrations, and iterative stakeholder validation. •         Architect and build end-to-end AI-enabled applications spanning user experiences, frontend applications, backend services, APIs, data pipelines, cloud services, model integration, and enterprise systems. •         Convert proofs of concept and research outputs into secure, maintainable, validated, and production-ready solutions. •         Collaborate with Data Scientists and AI Engineers to integrate machine learning, computer vision, NLP, analytics, and GenAI capabilities into usable products and workflows. •         Design reusable solution patterns, reference architectures, accelerators, and platform components that can be scaled across AI Labs programs and pillars. •         Establish DevSecOps and MLOps practices, including CI/CD, automated testing, infrastructure as code, deployment, monitoring, observability, and release governance. •         Build stakeholder confidence through clear technical communication, working demonstrations, trade-off discussions, implementation plans, and measurable outcome tracking. •         Troubleshoot complex issues across application, data, model, cloud, security, and integration layers. •         Support GenAI use cases including knowledge assistants, RAG-based applications, AI Agents, Agentic AI workflows, copilots, semantic search, and intelligent automa