Data & AI Architect

Medtronic • Duluth, GA

19h

About The Position

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life The Data & AI Architect is responsible for designing, governing, and evolving the enterprise data and AI ecosystem. This role provides strategic and technical leadership across data engineering, analytics, AI/ML, and cloud platform architecture. As the primary architecture expert for Data & Analytics, the architect defines future-state architectures, represents the D&A organization in the Architecture Review Board (ARB), and ensures that all new solutions are secure, scalable, compliant, and aligned with business strategy. This role requires deep hands-on technical expertise, strong architectural judgment, and the ability to influence teams across the organization. This position is an exciting opportunity to work with Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. This separation provides our team with a bold opportunity to unleash our potential, enabling us to operate with greater speed and agility. As a separate entity, we anticipate leveraging increased investments to drive meaningful innovation and enhance our impact on patient care.

Requirements

• Requires a Bachelor's degree and minimum of 4 years of relevant experience OR Master's degree with a minimum of 2 years relevant experience OR PhD with 0 years relevant experience.

Nice To Haves

• BS in Computer Science, Engineering, or related discipline
• 8 + years of architecture experience across data, AI/ML, or cloud platforms.
• 7+ years designing and deploying AI/ML solutions in production.
• 8+ years in data architecture, data engineering, analytics, or ML engineering.
• 4+ years of experience with AWS, Azure, or GCP cloud-native architectures.
• Lakehouse platforms: Databricks, Snowflake, ETL/ELT tools: Fivetran, DBT, Airflow MLOps / LLMOps: SageMaker, Bedrock , Databricks ML Streaming: Kafka, API/microservices, event-driven design, containerization (Docker, Kubernetes) Metadata & governance: Atlan, Collibra
• Strong programming skills in Python , SQL
• Experience with LLMs, vector DBs, RAG pipelines, agentic frameworks
• Experience in regulated industries (healthcare, med-device, pharma, finance).
• Cloud certifications (AWS Architect).

Responsibilities

• Define the enterprise data and AI architecture aligned with business and platform strategy.
• Establish reference architectures for data platforms, analytics, ML/GenAI, metadata, governance, and integrations.
• Drive cloud-first, scalable, cost-optimized architecture across AWS/Azure/GCP.
• Represent D&A in the Architecture Review Board (ARB), reviewing, approving, and influencing architecture decisions across the company.
• Architect modern data platforms including data lakehouses, data warehouses, and real-time streaming systems.
• Lead standards for ingestion, ETL/ELT, orchestration, automation, and data modeling.
• Ensure platform reliability, performance, and readiness for enterprise-scale analytics and AI.
• Design end-to-end ML and GenAI architectures including MLOps/LLMOps pipelines, feature stores, vector databases, monitoring, and deployment frameworks.
• Lead solution architecture for AI products and platforms—from feasibility and design through deployment.
• Guide engineering teams by providing best practices for responsible, secure, and scalable AI implementation.
• Run POCs, evaluate emerging AI technologies (RAG, agentic frameworks), and drive adoption across domains.
• Knowledge on governance frameworks, data standards, lineage, quality patterns, and security models.
• Ensure compliance with regulatory requirements (GDPR, HIPAA, FDA, SOX, etc.).
• Apply security frameworks and safe AI patterns to ensure responsible AI in production.
• Architect API, event-driven, streaming, and microservices integration patterns.
• Ensure seamless interoperability between operational systems (SAP, Salesforce) and analytics/AI platforms.
• Translate business requirements into scalable, secure, cloud-native architectures.
• Develop architecture diagrams, data flows, canonical models, and integration patterns.
• Oversee solution delivery across engineering and product teams, ensuring alignment to enterprise standards and ARB guidance.
• Act as a trusted advisor to engineering, product, data science, BI/analytics, and security teams.
• Mentor engineers; uplift architectural maturity across teams.
• Communicate complex architecture to senior leaders and non-technical stakeholders.
• Champion adoption of AI-first development practices across the organization.
• Lead capacity planning, performance tuning, and cost optimization.
• Drive automation, observability, and reliability across platforms.
• Continuously research, evaluate, and introduce new technologies in cloud, data, AI/ML, and security.

Benefits

• 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.
• Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).
• Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees