Artificial Intelligence Engineer - Manufacturing Experience Required

This is an opportunity to step into a highly respected, long-standing manufacturing operation that is actively investing in the future. With deep roots in U.S. textile manufacturing and a strong, people-first culture, this organization is blending operational excellence with modern technology to stay ahead of the curve.

You won't be building theory here. You'll be building systems that directly impact production, efficiency, and real-world outcomes every single day.

Why This Role Stands Out

• Direct impact on production performance and decision-making
• High visibility with operations, engineering, and leadership teams
• Opportunity to build and shape AI systems from the ground up
• Stable, established manufacturing environment with long-term vision
• Culture that values continuous improvement, collaboration, and innovation

The Role You Will Play

As a Manufacturing AI Engineer, you will sit at the intersection of data, production, and technology; developing and deploying AI-driven tools that enhance manufacturing performance.

You will:

• Build and refine AI models that support production scheduling, machine efficiency, and downtime reduction
• Analyze real-time and historical manufacturing data to uncover trends, bottlenecks, and optimization opportunities
• Translate shop floor challenges into scalable, data-driven solutions
• Partner closely with production leaders, technicians, and IT to ensure tools are practical, usable, and impactful
• Continuously improve system accuracy, reliability, and performance
• Help shape the long-term roadmap for AI and automation within the operation

What Success Looks Like

• Increased machine uptime and improved production flow
• More accurate forecasting and scheduling decisions
• Reduction in manual processes through smart automation
• Strong adoption of AI tools by operations teams
• Measurable improvements in efficiency and product quality

• Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related field (or equivalent experience)
• Experience working with AI, machine learning, data analytics, or automation tools
• Exposure to manufacturing or industrial environments strongly preferred
• Ability to interpret operational challenges and translate them into technical solutions
• Strong communication skills with the ability to collaborate across technical and non-technical teams

• Dental insurance
• Health insurance
• Paid time off
• Vision insurance