Architect Visa Sponsorship Jobs in Ohio
Architect visa sponsorship jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where firms like Skidmore, Owings and Merrill, NBBJ, and local design studios regularly hire international talent. Ohio's growing infrastructure investment and university-linked design programs create consistent demand for architects with specialized credentials seeking H-1B visa sponsorship.
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Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Position Overview
The Principal Industrial AI Data Architect is responsible for designing and governing the data architecture that enables reliable, scalable AI across industrial environments.
This role ensures that:
- Data pipelines are aligned with the canonical semantic model
- Features used in AI models are consistent across training and runtime
- Industrial data is structured for real-time inference and long-term analytics
This role is the bridge between data, semantics, and AI execution.
Job Responsibilities
- Define Industrial Data Architecture for AI
Design end-to-end data flows from:
- Edge systems cloud AI pipelines edge inference
Define:
- Data storage patterns (time-series, relational, event-based)
- Data movement and transformation strategies
Ensure architecture supports:
- Real-time processing
- Batch analytics
-
Model lifecycle integration
-
Design Feature Pipelines and Delivery for AI Models
Design and govern the pipelines, storage, and lifecycle that build and deliver features to AI models, based on canonical definitions established by the Principal Manufacturing & Semantic Architect.
- Define feature engineering pipelines for both training (cloud) and inference (edge) environments
- Ensure consistency between training datasets and runtime inference data
-
Prevent feature drift and data mismatch through automated validation
-
Integrate Semantic Model with Data Pipelines
Translate canonical semantic definitions into:
- Physical data models
- Schemas
- Pipelines
Ensure all data structures conform to:
- Enterprise standards
- Platform contracts
Additional Job Responsibilities
- Enable Scalable AI Model Integration
Define data interfaces required by:
- Internal AI teams
- External model providers
Support:
- Model versioning
- Feature compatibility
-
Performance validation
-
Design for Multi-Tenant and Product Use Cases
Ensure data pipelines and access patterns support multi-tenant environments, including:
- Customer data isolation and secure access controls
- Scalable onboarding of new tenants and use cases
- Reuse of data pipelines across customers and deployments
Note: The underlying data model for multi-tenancy is governed by the Principal Manufacturing & Semantic Architect.
- Collaborate Across Teams
Partner with:
- Principal Manufacturing & Semantic Architect (canonical model definition and feature semantics)
- Principal Edge & OT Architect (edge data ingestion and inference data requirements)
- Platform Engineering (implementation and infrastructure)
- AI/Data Science teams (model requirements and validation)
Ensure consistent execution across domains.
Competencies
- Strong system design and data modeling skills
- Ability to connect business, operational, and AI requirements
- High attention to data consistency and integrity
- Cross-functional collaboration
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
- 10+ years of experience in data architecture, industrial data systems, or IoT platforms
- Strong experience with time-series data (e.g., historian systems), data pipelines, and ETL/ELT
- Strong experience with distributed data systems
- Understanding of AI/ML data requirements and feature engineering concepts
Leadership Expectations
- Operate as a thought leader in industrial data architecture and AI data strategy
- Influence without direct authority across multiple teams and partners
- Drive standards adoption for data pipelines and AI data practices across internal and external stakeholders
- Balance long-term architectural vision with near-term delivery needs
Work Environment & Travel
- Travel to manufacturing sites and partner locations as needed (~10–25%).
One-Line Summary
- Design the data architecture that ensures AI models operate correctly, consistently, and at scale across industrial environments.
Preferred Qualifications
Experience with:
- Industrial IoT or edge-to-cloud platforms
- Manufacturing systems (OT + IT integration)
- Cloud data platforms (AWS preferred)
Familiarity with:
- Streaming architectures
- Event-driven systems
- Data governance frameworks
Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Position Overview
The Principal Industrial AI Data Architect is responsible for designing and governing the data architecture that enables reliable, scalable AI across industrial environments.
This role ensures that:
- Data pipelines are aligned with the canonical semantic model
- Features used in AI models are consistent across training and runtime
- Industrial data is structured for real-time inference and long-term analytics
This role is the bridge between data, semantics, and AI execution.
Job Responsibilities
- Define Industrial Data Architecture for AI
Design end-to-end data flows from:
- Edge systems cloud AI pipelines edge inference
Define:
- Data storage patterns (time-series, relational, event-based)
- Data movement and transformation strategies
Ensure architecture supports:
- Real-time processing
- Batch analytics
-
Model lifecycle integration
-
Design Feature Pipelines and Delivery for AI Models
Design and govern the pipelines, storage, and lifecycle that build and deliver features to AI models, based on canonical definitions established by the Principal Manufacturing & Semantic Architect.
- Define feature engineering pipelines for both training (cloud) and inference (edge) environments
- Ensure consistency between training datasets and runtime inference data
-
Prevent feature drift and data mismatch through automated validation
-
Integrate Semantic Model with Data Pipelines
Translate canonical semantic definitions into:
- Physical data models
- Schemas
- Pipelines
Ensure all data structures conform to:
- Enterprise standards
- Platform contracts
Additional Job Responsibilities
- Enable Scalable AI Model Integration
Define data interfaces required by:
- Internal AI teams
- External model providers
Support:
- Model versioning
- Feature compatibility
-
Performance validation
-
Design for Multi-Tenant and Product Use Cases
Ensure data pipelines and access patterns support multi-tenant environments, including:
- Customer data isolation and secure access controls
- Scalable onboarding of new tenants and use cases
- Reuse of data pipelines across customers and deployments
Note: The underlying data model for multi-tenancy is governed by the Principal Manufacturing & Semantic Architect.
- Collaborate Across Teams
Partner with:
- Principal Manufacturing & Semantic Architect (canonical model definition and feature semantics)
- Principal Edge & OT Architect (edge data ingestion and inference data requirements)
- Platform Engineering (implementation and infrastructure)
- AI/Data Science teams (model requirements and validation)
Ensure consistent execution across domains.
Competencies
- Strong system design and data modeling skills
- Ability to connect business, operational, and AI requirements
- High attention to data consistency and integrity
- Cross-functional collaboration
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
- 10+ years of experience in data architecture, industrial data systems, or IoT platforms
- Strong experience with time-series data (e.g., historian systems), data pipelines, and ETL/ELT
- Strong experience with distributed data systems
- Understanding of AI/ML data requirements and feature engineering concepts
Leadership Expectations
- Operate as a thought leader in industrial data architecture and AI data strategy
- Influence without direct authority across multiple teams and partners
- Drive standards adoption for data pipelines and AI data practices across internal and external stakeholders
- Balance long-term architectural vision with near-term delivery needs
Work Environment & Travel
- Travel to manufacturing sites and partner locations as needed (~10–25%).
One-Line Summary
- Design the data architecture that ensures AI models operate correctly, consistently, and at scale across industrial environments.
Preferred Qualifications
Experience with:
- Industrial IoT or edge-to-cloud platforms
- Manufacturing systems (OT + IT integration)
- Cloud data platforms (AWS preferred)
Familiarity with:
- Streaming architectures
- Event-driven systems
- Data governance frameworks
Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
Architect Job Roles in Ohio
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Search Architect Jobs in OhioArchitect Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for architects in Ohio?
Large architecture and engineering firms with Ohio offices are the most consistent H-1B sponsors for architects, including firms like AECOM, Stantec, and HOK. Regional practices in Columbus and Cleveland also file petitions, though less frequently than national firms. Firms working on large-scale commercial, healthcare, or institutional projects tend to have established immigration support infrastructure and are more likely to sponsor.
Which visa types are most common for architect roles in Ohio?
The H-1B is the most common visa for licensed and unlicensed architects in Ohio, as architecture qualifies as a specialty occupation requiring a bachelor's degree or higher in architecture. Some Canadian and Mexican nationals working in architecture may qualify for TN visa status under the USMCA. Architects with exceptional recognition in the field may also explore the O-1A category, though that requires substantial evidence of distinction.
Which cities in Ohio have the most architect sponsorship jobs?
Columbus leads Ohio for architect sponsorship activity, driven by ongoing commercial development and proximity to Ohio State University's architecture program. Cleveland follows, with firms supporting healthcare campus expansions and civic projects. Cincinnati has a smaller but active architecture market tied to mixed-use development. All three cities have offices of national firms that have demonstrated histories of sponsoring international architects.
How to find architect visa sponsorship jobs in Ohio?
Migrate Mate is specifically built for international job seekers looking for visa sponsorship roles, including architect positions in Ohio. You can filter by state and role to see firms actively hiring architects who require sponsorship. This is more efficient than searching general job boards, which rarely surface sponsorship status. Migrate Mate pulls together Ohio-based architecture openings where employers have indicated willingness to sponsor.
Are there any Ohio-specific considerations for architects seeking visa sponsorship?
Ohio architects seeking sponsorship should be aware that prevailing wage requirements under the H-1B apply based on the metropolitan area where the work is performed, so Columbus, Cleveland, and Cincinnati each have different wage tiers. Ohio does not require a state architecture license for H-1B filing, but employers typically prefer candidates progressing toward or holding NCARB certification. Firms affiliated with Ohio universities occasionally sponsor recent graduates through OPT-to-H-1B transitions.
What is the prevailing wage for sponsored architect jobs in Ohio?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.