Principal Industrial AI Data Architect (AI)

Location: US Remote; based in the United States, with travel to manufacturing sites and partner locations as needed (approximately 10–25%).

Company

hirify.global develops advanced materials, manufacturing technologies, and industrial solutions focused on innovation, sustainability, safety, and operational impact.

What you will do

• Define end-to-end industrial data architectures and data flows from edge systems through cloud platforms, AI pipelines, and edge inference.
• Design storage patterns, data movement, transformation strategies, and architectures supporting real-time processing, batch analytics, and model lifecycle integration.
• Design and govern feature engineering pipelines for cloud-based training and edge inference, ensuring consistency between training datasets and runtime data and preventing feature drift through automated validation.
• Translate canonical semantic definitions into physical data models, schemas, and pipelines that conform to enterprise standards and platform contracts.
• Define data interfaces for internal AI teams and external model providers, supporting model versioning, feature compatibility, and performance validation.
• Design secure, reusable, and scalable data pipelines for multi-tenant customer environments and collaborate with semantic architecture, edge and OT, platform engineering, and AI/data science teams.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred.
• 10+ years of experience in data architecture, industrial data systems, or IoT platforms.
• Strong experience with time-series data, including historian systems, data pipelines, and ETL/ELT.
• Strong experience with distributed data systems.
• Understanding of AI/ML data requirements and feature engineering concepts.
• Strong system design and data modeling skills, with the ability to connect business, operational, and AI requirements.
• High attention to data consistency and integrity, cross-functional collaboration skills, and the ability to influence without direct authority.
• Ability to act as a thought leader, drive standards adoption across internal and external stakeholders, and balance long-term architectural vision with near-term delivery needs.

Nice to have

• Experience with industrial IoT or edge-to-cloud platforms.
• Experience with manufacturing systems and OT/IT integration.
• Experience with cloud data platforms, preferably AWS.
• Familiarity with streaming architectures, event-driven systems, and data governance frameworks.

Culture & Benefits

• Remote work in the United States with approximately 10–25% travel to manufacturing sites and partner locations.
• Inclusive environment focused on growth, collaboration, accountability, safety, partnership, belonging, and impact.
• Access to tools, training, and continuous development opportunities.
• Employment is subject to a drug test, background investigation, and possible periodic background checks under applicable chemical facility security regulations.
• Equal Opportunity and Affirmative Action employer.

Hiring process

• Submit an employment application through the company career site.
• Candidates must be at least 18 years old.