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Urgent! Principal Data and AI Architect Job Opening In Libertyville – Now Hiring VeeAR Projects

Principal Data and AI Architect



Job description


Responsibilities:

  • Architect and lead the design of enterprise-scale data and AI platforms, ensuring alignment with business strategy, scalability goals, and regulatory requirements (, 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 GCP.
  • 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 (, 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 (, 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


  • Required Skill Profession

    Computer Occupations



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