Senior Principal AI/Data Science Engineer

About the role

Medtronic is looking for a Principal AI/Data Science Engineer to accelerate the design, validation, productization, deployment and adoption of AI-enabled healthcare solutions across its AI Labs programs. This is a hands-on, stakeholder-facing technical leadership role combining AI/Data Science solution engineering with full-stack development, cloud platforms, enterprise integration, data engineering, MLOps and end-to-end DevSecOps. Working knowledge of Generative AI is preferred.

Key responsibilities

• Work with operating units, product teams, clinicians and engineering teams to turn ambiguous business and clinical problems into actionable AI solutions.
• Embed with delivery teams as a Forward Deployed Engineer, driving solutions from discovery through adoption.
• Lead technical discovery, prototyping, demonstrations and iterative stakeholder validation.
• Build end-to-end AI applications, from frontend and backend services and APIs to data pipelines, cloud services and model integration.
• Turn proofs of concept into secure, production-ready solutions and collaborate with Data Scientists and AI Engineers on ML, computer vision, NLP and GenAI.
• Design reusable patterns, reference architectures and accelerators, and establish DevSecOps and MLOps practices (CI/CD, IaC, observability).
• Mentor engineers and raise engineering quality and delivery maturity.

Required profile

• B.E./B.Tech. or Master's degree in a technical discipline.
• 14 to 18 years of progressive experience in software engineering, AI/Data Science engineering, solution or platform engineering.
• Proven experience delivering enterprise-grade applications and working with stakeholders to solve ambiguous problems.
• Experience prototyping and moving concepts to production.

Required skills

• Full-stack: React and/or Angular, JavaScript, TypeScript, Python, Java.NET or Node.js, REST APIs, microservices.
• Cloud and DevSecOps: Microsoft Azure and/or AWS, Docker, Kubernetes, Azure DevOps or GitHub, CI/CD pipelines.
• AI and MLOps: Python, SQL and NoSQL, model serving, MLOps, GenAI concepts (RAG, AI Agents, copilots).
• Nice to have: GenAI frameworks such as LangChain, Semantic Kernel, Hugging Face, PyTorch or TensorFlow, and regulated environments such as medical devices (FDA, ISO 13485, IEC 62304).

The position is eligible for the Medtronic Incentive Plan (MIP).