Principal Data and AI Architect

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 :

Requirements :

Microsoft Certified : Azure Solutions Architect Expert

Specialized Skills / Technical Knowledge :