VeeAR Projects Inc.
Principal Data and AI Architect
VeeAR Projects Inc., Libertyville, Illinois, United States, 60092
Qualifications
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.
AWS Certified Solutions Architect – 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 (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
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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.
AWS Certified Solutions Architect – 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 (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
#J-18808-Ljbffr