Principal Digital Architect, AI-Ready Data & Annotations

What you'll do

• Define the enterprise framework for Physical AI ready data products.
• Establish standards for data product design, metadata, quality, lineage, and security.
• Design reusable data objects and domain-oriented products to support Physical AI workloads.
• Define data contracts and consumption interfaces to ensure reliable access across the organization.
• Develop architecture standards for integrating labeling, annotation, curation, and evaluation into data products.
• Create technical infrastructure designs including databases, programming languages, and testing approaches.
• Drive consistency across domains while enabling decentralized ownership and accountability.

What we're looking for

• Knowledge of data architecture processes, techniques, and blueprint design for business process integration.
• Ability to perform requirements analysis to elicit and record functional and non-functional requirements.
• Proficiency in platform architecture to design processing mechanisms, roadmaps, and end-user interfaces.
• Capability to develop target architectures that align IT blueprints with business strategies.
• Experience designing cloud and on-premise data platforms for massive volumes, including streaming data and telemetry (preferred).
• Deep understanding of AI/ML data foundations, including training sets, feature engineering, and synthetic data (preferred).
• Knowledge of physical AI, industrial data ecosystems, digital twins, and edge-to-cloud architectures (preferred).
• Progressive career in software engineering and architecture with a focus on data, typically (preferred).