Principal Data and AI Architect

As Principal Data & AI Architect, you will lead the design and delivery of scalable, secure, and intelligent data and AI platforms across the enterprise. Your work will power next-generation medical products, insights, and digital experiences that improve lives. This hands-on, cross-functional leadership role blends technical excellence in cloud data systems, MLOps, and AI governance with strategic alignment to business and regulatory priorities.

Responsibilities:

• Architect and lead the design of enterprise-scale data and AI platforms, ensuring alignment with business strategy, scalability goals, and regulatory requirements (e.g., HIPAA, GDPR).
• Define and evolve the company s AI-first architecture strategy, covering data pipelines, model lifecycle management, MLOps practices, and responsible AI governance.
• Design and implement secure, scalable MLOps frameworks and model governance to ensure reproducibility, traceability, and auditability of AI solutions across the enterprise.
• Integrate data and systems across platforms, including Azure, SAP (S/4HANA, BW, Datasphere), Microsoft Dynamics, Salesforce, and Aras PLM into the Microsoft Fabric ecosystem.
• Collaborate with product, engineering, clinical, and regulatory teams to embed AI into medical devices, diagnostics, digital health platforms, and internal productivity solutions.
• Enable self-service analytics, reusable AI components, and standardized data assets to empower business and clinical teams across the organization.
• Translate business, clinical, and operational requirements into secure, scalable data and AI solutions, bridging technical and non-technical stakeholders.
• Define and champion enterprise-wide best practices in data quality, lineage, metadata management, security, and compliance.
• Provide technical leadership and mentorship to cross-functional teams (data engineers, ML engineers, data scientists) and guide solution architecture across initiatives.
• Continuously research and evaluate emerging trends in Generative AI, cloud-native data/ML platforms, responsible AI, and MedTech regulatory innovation.

Essential Functions of the Role:

• Act as the enterprise-wide technical authority for data and AI architecture, ensuring consistency, scalability, and alignment with business goals.
• Translate complex business and clinical challenges into scalable, AI-enabled solutions that drive measurable impact.
• Design and guide implementation of core AI infrastructure components, including data lakes, feature stores, model registries, and real-time inference pipelines.
• Ensure AI systems are ethical, explainable, and auditable, in compliance with internal policies and external regulatory frameworks.
• Foster a culture of innovation through rapid prototyping, experimentation, and agile iteration leading initiatives such as internal data and AI hackathons to accelerate learning, surface new use cases, and drive cross-functional engagement.
• Serve as a visible thought leader by representing the company in external forums related to AI, healthcare technology, and regulatory innovation.

Requirements:

• 10 15 years of progressive experience in data architecture, machine learning engineering, and AI platform development.
• Proven track record delivering production-grade AI/ML solutions in cloud and/or edge environments.
• Experience in regulated industries such as MedTech, Pharma, or Healthcare; strong preference for familiarity with compliance and validation workflows.
• Hands-on expertise with modern data and AI technologies, such as Databricks, Snowflake, MLflow, Kubernetes, TensorFlow, and PyTorch.
• Bachelor s (required) or Master s degree in Computer Science, Information Systems, Engineering, or a related technical field.
• Advanced degree and/or certifications in one or more of the following areas is preferred: Artificial Intelligence, Machine Learning, Data Engineering, Cloud Architecture, or Enterprise Solution Architecture.

Relevant certifications may include:

• Microsoft Certified: Azure Solutions Architect Expert
• Azure AI Engineer Associate
• Azure Data Engineer Associate
• AWS Certified Solutions Architect Professional
• Databricks Certified Data Engineer Professional

Specialized Skills/Technical Knowledge:

• Deep expertise in AI/ML model development, including MLOps practices, model lifecycle management, and responsible AI principles (explainability, bias mitigation, auditability).
• Strong understanding of cloud-native data architecture, including Microsoft Azure (preferred), AWS, or Google Cloud Platform.
• Hands-on experience with the Microsoft Fabric ecosystem, including Data Factory, OneLake, Power BI, and integration with Azure AI and DevOps services.
• Experience designing and integrating data pipelines across SAP data platforms (S/4HANA, BW, Datasphere), Microsoft Dynamics, and Product Lifecycle Management (PLM) systems (e.g., Aras).
• Proficiency with Generative AI frameworks, Copilot integrations, and prompt engineering for productivity and business automation use cases.
• In-depth knowledge of regulatory frameworks such as ISO 13485, FDA 21 CFR Part 11, and data privacy laws (e.g., HIPAA, GDPR), especially in handling PHI/PII securely.
• Proven ability to embed privacy, security, and compliance controls into AI and data solutions, including encryption, access governance, and audit trails.
• Exceptional collaboration and communication skills, with the ability to influence technical and non-technical stakeholders at all organizational levels.
• Passion for healthcare innovation and a strong commitment to improving patient outcomes through ethical and intelligent use of data and AI.
• 20% travel; domestic and international
• Must be fluent in English; written and spoken

Salary: $ 170,000- $180,000 per year ( depends on experience level)

Benefits: Medical Insurance, PTO, 401 (k) and more