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 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.

A Day in the Life

As a Senior Principal Generative AI SME, you will:

• Partner with executive leadership, R&D, product management, clinical experts, and software engineering organizations to define and execute enterprise Generative AI strategy.
• Serve as the technical lead for Generative AI initiatives spanning healthcare products, clinical decision support, software development lifecycle acceleration, regulatory automation, digital health, and operational transformation.
• Architect enterprise-scale AI platforms leveraging Large Language Models, Agentic AI systems, Retrieval-Augmented Generation (RAG), Knowledge Graphs, AI Agents, and multimodal foundation models.
• Drive AI innovation programs by identifying high-value opportunities where Generative AI can improve patient outcomes, engineering productivity, quality, and business efficiency.
• Define reference architectures, governance models, AI platform standards, design patterns, and reusable frameworks for enterprise adoption.
• Lead design reviews, architecture assessments, and technical evaluations of Generative AI solutions across business units.
• Collaborate with domain experts in Neuroscience, Cardiovascular, Medical Surgical and organizations to develop domain-specific AI solutions.
• Guide teams in fine-tuning foundation models and building healthcare-specific LLM solutions using enterprise and clinical datasets.
• Establish best practices for Prompt Engineering, AI Agents, RAG pipelines, semantic search, vector databases, AI observability, and model lifecycle management.
• Lead exploration of emerging technologies including Agentic AI, AI Copilots, Digital Twins, Knowledge Graph AI, Multimodal AI, and Autonomous Reasoning Systems.
• Drive implementation of AI governance frameworks addressing transparency, explainability, bias mitigation, risk management, security, and regulatory compliance.
• Mentor principal engineers, data scientists, AI engineers, and technical leaders while building organizational capability in Generative AI.
• Represent the organization in innovation councils, technical forums, conferences, research partnerships, and external collaborations.
• Partner with cloud, security, infrastructure, and platform engineering teams to enable scalable and secure AI deployments.
• Evaluate emerging LLMs, foundation models, open-source AI ecosystems, and AI tooling to establish enterprise AI roadmaps.
• Define and monitor AI success metrics, model quality measures, adoption KPIs, and business-impact indicators.

Responsibilities may include the following and other duties may be assigned:

• AI Strategy & Innovation
  • 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.

• Generative AI Architecture
  • 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

• Model Development & Fine-Tuning
  • 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.

• Enterprise AI Platform Leadership
  • 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.

• AI Governance & Responsible AI
  • 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.

• Technical Leadership
  • Serve as the highest-level technical authority for Generative AI initiatives.
  • Conduct architecture reviews and technical assessments.
  • Mentor engineering and AI teams globally.
  • Influence technical direction across product portfolios and operating units.

Required Knowledge and Experience

• B.E/B.Tech/Master's or PhD in: Computer Science/Artificial Intelligence/Machine Learning/Data Science/Computational Statistics/Applied Mathematics/Related quantitative discipline
• 15+ years of software engineering, AI, machine learning, or data science experience.
• 8+ years developing machine learning and AI systems.
• 5+ years specializing in Generative AI technologies.
• Demonstrated leadership in enterprise-scale AI transformation initiatives.
• Proven experience architecting and deploying production-grade AI platforms.

Required Technical Expertise

• Generative AI & Foundation Models
  • GPT Family, Llama Models, Mistral, Claude, Gemini, DeepSeek
  • Med-PaLM, BioGPT, MedBERT, T5
  • Transformer Architectures
• Advanced AI Techniques
  • 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
• AI Frameworks & Platforms
  • PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Copilot Studio, Azure AI Foundry
• Data Science & Analytics
  • Python, NLP, Statistical Modeling, Feature Engineering, Model Evaluation, Data Pipelines, Experiment Tracking
• Cloud & MLOps
  • Azure AI Services, AWS AI/ML Services, Google Vertex AI, Kubernetes, Docker, MLFlow, CI/CD for AI Systems, AI Observability Platforms
• Vector Databases
  • Pinecone, Weaviate, Qdrant, Chroma, Azure AI Search

Nice to Have

• 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).

Impact of the Role

• This position serves as the organization's Principal Generative AI authority, shaping AI strategy, enterprise architecture, innovation initiatives, governance frameworks, and next-generation healthcare solutions while enabling responsible adoption of AI technologies at scale.

 

Physical Job Requirements

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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Recruitment Fraud Alert 

We are aware of phishing scams targeting job seekers. Please keep the following in mind: 

Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses. 

Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. 

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 AskHR@medtronic.com. 

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Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
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).