AI Engineer

On the heels of achieving 3X growth , Virginia Transformer is hiring to do it again!

We’re strategically building our team for the next 3X growth cycle — a phase that is both intense and incredibly rewarding
. We’re highly selective about who joins us, because this journey isn’t for everyone.

If you have the drive, grit, and expertise to perform at a high level — and you want to grow your career 3X alongside the Company’s growth — we’d love to talk.

Apply below and let’s start the conversation.

Virginia Transformer is the largest U.S.

-owned producer of power transformers in North America, and we’ve been able to grow the past 50-plus years through an unwavering focus on delivering for our customers. We’re more than 5,400 people strong and are known throughout the industry for being an engineering company that makes premium quality transformers in the shortest lead times.

As a privately held, organically growing company
, we thrive on nimbleness, innovation, and tenacity.

If you love the thrill of securing the U.S. electric grid, enabling all manufacturing in the country, and the energy of a fast-moving train — this is the place for you. We train hard, grow together, and lead with purpose. Every transformer we build is custom, every challenge unique, and every team member essential.

We’re looking for those ready to lead, fueled by commitment, and driven by impact. We are growing so fast that all our available roles are not yet posted, so let us know if you are interested and we will follow‑up.

Company:
Virginia Transformer Corporation

Location:

Roanoke, VA or approved company location

Job Type: Full-Time

Posting Type:
Internal Opportunity

Virginia Transformer Corporation (VTC) is seeking an AI Engineer to design, build, and deploy artificial intelligence and machine learning solutions that improve operational efficiency, decision‑making, and scalability across the business.

This role will focus on practical, applied AI
—supporting manufacturing, supply chain, engineering, HR, finance, and commercial teams through automation, analytics, forecasting, and intelligent systems. The ideal candidate is technically strong, business‑curious, and motivated to solve real‑world problems in a complex industrial environment.

• Design, develop, and deploy AI / machine learning models to support manufacturing, operations, supply chain, HR, and commercial use cases.

• Partner with business stakeholders to translate operational problems into scalable AI solutions.

• Build and maintain data pipelines
  , feature engineering workflows, and model training processes.

• Apply AI techniques to areas such as:

• Demand forecasting and capacity planning
• Quality and defect analysis
• Predictive maintenance
• Supply chain optimization
• Workforce and recruiting analytics
• Process automation and decision support

• Integrate AI solutions with existing enterprise systems (ERP, MES, ATS, finance, etc.).

• Monitor deployed models for performance, accuracy, and drift; refine as needed.

• Document models, assumptions, and processes for transparency and reuse.

• Support responsible AI practices, including data security, governance, and ethical use.

• Stay current on AI tools and technologies relevant to industrial and enterprise environments.

• Bachelor’s degree in Computer Science, Engineering, Data Science, Analytics, or a related field (or equivalent experience). Associates required.
• Strong proficiency in Python ; working knowledge of SQL
  .
• Hands‑on experience with machine learning fundamentals (model selection, training, validation).
• Experience using AI/ML frameworks such as scikit‑learn, Tensor Flow, Py Torch , or similar.
• Understanding of data structures, algorithms, and software development best practices.
• Ability to clearly communicate technical concepts to non‑technical business partners.

• Experience working with manufacturing, operations, supply chain, or industrial data
  .
• Familiarity with cloud platforms (Azure, AWS, or GCP).
• Exposure to MLOps
  , model deployment, or CI/CD pipelines.
• Experience with time‑series forecasting, optimization, NLP, or generative AI
  .
• Experie…