Scan your resume against ATS criteria for this Sr Prin AI/Data Sci Engineer role at Medtronic.
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.
We are seeking a Senior Principal AI/Data Science Engineer specializing in Generative AI, Large Language Models (LLMs), Agentic AI, and Enterprise AI Platforms to lead the next generation of AI-enabled healthcare solutions. This role serves as the organization's technical authority for Generative AI, driving enterprise-wide AI strategy, architecture, innovation, governance, and deployment of scalable AI solutions across product engineering, clinical applications, digital health, quality, regulatory, and operational functions.
The role requires deep expertise in Generative AI technologies and the ability to influence executive stakeholders, research teams, product organizations, and engineering functions to accelerate AI adoption while ensuring safety, compliance, explainability, and measurable business impact.
As a Senior Principal Generative AI SME, you will:
Define and drive enterprise Generative AI vision, strategy, roadmap, and adoption framework.
Identify transformational AI opportunities across healthcare products, clinical workflows, software engineering, quality systems, and business operations.
Lead AI innovation initiatives from concept through production deployment.
Architect scalable AI platforms supporting: Large Language Models (LLMs), Small Language Models (SLMs), Retrieval Augmented Generation (RAG), Agentic AI Systems, Multimodal AI Models, Knowledge Graph AI, AI Copilots, Autonomous Workflows, AI Orchestration Platforms
Lead adaptation and fine-tuning of foundation models for healthcare-specific use cases.
Develop domain-specific AI solutions using enterprise, regulatory, engineering, and clinical knowledge.
Establish enterprise standards for model benchmarking, evaluation, validation, and continuous improvement.
Develop reusable AI frameworks, accelerators, and reference implementations.
Define enterprise architecture standards for AI deployment, observability, governance, security, and compliance.
Drive platform modernization using cloud-native AI architectures.
Ensure AI solutions comply with healthcare regulations and enterprise governance requirements.
Champion responsible AI principles including fairness, transparency, explainability, safety, traceability, and human oversight.
Establish model monitoring, risk management, and AI audit readiness processes.
GPT Family, Llama Models, Mistral, Claude, Gemini, DeepSeek
Med-PaLM, BioGPT, MedBERT, T5
Transformer Architectures
Retrieval-Augmented Generation (RAG), GraphRAG, Knowledge Graphs
Agentic AI, Multi-Agent Systems, Prompt Engineering, Fine-Tuning (SFT, PEFT, LoRA)
Reinforcement Learning from Human Feedback (RLHF), Synthetic Data Generation, Multimodal AI
PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Copilot Studio, Azure AI Foundry
Python, NLP, Statistical Modeling, Feature Engineering, Model Evaluation, Data Pipelines, Experiment Tracking
Azure AI Services, AWS AI/ML Services, Google Vertex AI, Kubernetes, Docker, MLFlow, CI/CD for AI Systems, AI Observability Platforms
Experience in medical devices, digital health, or regulated healthcare environments.
Publications, patents, or research contributions in AI/ML, healthcare AI, or Generative AI.
Knowledge of FDA guidance, ISO 13485, IEC 62304, IEC 82304, and SaMD frameworks.
Experience building AI solutions for:- Clinical Decision Support
Regulatory Documentation
Software Development Copilots
Digital Twin Platforms
Biomedical Research
Healthcare Knowledge Management
Experience leading enterprise AI Centers of Excellence (CoE).
, shaping AI strategy, enterprise architecture, innovation initiatives, governance frameworks, and next-generation healthcare solutions while enabling responsible adoption of AI technologies at scale.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
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If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments.
If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at mailto:[email protected] [email protected].
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
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.
How to apply for Sr Prin AI/Data Sci Engineer at Medtronic?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
15+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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