ABOUT US:

Alliance Machine Systems International, LLC is a privately held company with over 35 years of history dedicated to providing corrugated box manufacturing machines and services to the changing industry. As the paperboard packaging industry’s premier global supplier of productivity-enhancing process machinery and systems, we supply innovative designs, intelligent automation, and optimized workflow, coupled with highly responsive parts and service support. Our United States and Europe based engineering, manufacturing, sales and service operations provide a global support system covering the full product portfolio of Alliance, Serco, TEI, ASC, Pallmac, J&L and Tanabe machines.
Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.

SUMMARY

We are seeking a forward-thinking AI & Digital Innovation Specialist to join our engineering team and drive digital transformation within our manufacturing operations and equipment. This role focuses on identifying, piloting, and implementing cutting-edge digital tools—including AI, machine learning, and process automation—to increase engineering efficiency, reduce waste, improve product development cycles, enhance data-driven decision-making and provide innovative digital solutions for our customers.
As part of our digital transformation journey, the AI & Digital Innovation Specialist will work closely with engineers, data scientists, and the Digital Innovation Team to identify high-impact opportunities for AI and turn them into scalable, real-world applications that enhance productivity, precision, and innovation.

ESSENTIAL DUTIES AND RESPONSIBILITIES (Includes the following, other duties may be assigned.)

• Digital Tool Integration: Evaluate, implement, and support emerging digital tools (e.g., generative AI, digital twins, industrial IoT, AR/VR, robotic process automation) to enhance engineering workflows.
• AI Application: Collaborate with engineering and the Digital Innovation Team to deploy AI/ML tools such as:
• Predictive maintenance models using sensor data
• Generative design and simulation tools (e.g., Autodesk Fusion 360, Siemens NX, nTopology)
• Computer vision for quality inspection
• Large Language Models (LLMs) for document automation and technical support
• Innovation Pipeline: Create a digital innovation roadmap aligned with business goals. Run pilot projects, track outcomes, and scale successful solutions.
• Cross-functional Collaboration: Act as a liaison between engineering, DI Team, production, and R&D to ensure cohesive adoption of digital solutions.
• Data Strategy: Help develop data governance practices, ensuring data collected from machinery, sensors, and ERP systems is clean, usable, and integrated for advanced analytics.
• Regulatory Compliance: In collaboration with the Data Governance team, ensure that solutions adhere to emerging regulatory requirements as well as complete any required reporting on our data practices.
• Training & Change Management: Develop training materials and lead change management efforts to ensure team adoption and understanding of new digital tools.
• Continuous Improvement: Stay ahead of industry trends, benchmark competitors, and propose continuous improvements using digital methodologies such as lean digital manufacturing or Industry 4.0/5.0 principles.

EXPERIENCE AND SKILLS

• 1-3 years of experience in digital transformation, industrial engineering, or manufacturing innovation roles.
• Proven experience with digital tools such as:
• Generative AI (e.g., ChatGPT, Copilot, Jasper, Claude)
• Predictive analytics tools (e.g., Azure ML, TensorFlow)
• CAD/CAM with AI-enabled design tools (e.g., SolidWorks with xDesign)
• Digital twin or simulation software (e.g., Ansys, Siemens)
• Data visualization platforms (e.g., Power BI, Tableau)
• Understanding of manufacturing systems such as MES, SCADA, ERP, and PLM.
• Familiarity with programming or scripting languages (e.g., Python, MATLAB) is preferred.
• Strong project management, communication, and problem-solving skills.

PHYSICAL REQUIREMENTS

To successfully perform the essential functions of this job, an individual must be willing and able to

• Travel as needed.
• Sit at a desk or computer for extended periods of time.
• Move about the office and factory with occasional lifting, bending and reaching.
• Dial, hear and respond to telephone calls and inquiries.
• Communicate effectively (visually and verbally) with internal and external contacts.
• Meet requirements of daily attendance on job for a full, continuous work schedule.

SUPERVISORY RESPONSIBILITIES

The AI & Digital Innovation Specialist position has no direct reports and is not directly responsible for managing others, but may be asked to lead small, temporary teams that may include Engineers, Engineering Aides or Technicians.

ESSENTIAL DUTIES AND RESPONSIBILITIES (Includes the following, other duties may be assigned.)

• Digital Tool Integration: Evaluate, implement, and support emerging digital tools (e.g., generative AI, digital twins, industrial IoT, AR/VR, robotic process automation) to enhance engineering workflows.
• AI Application: Collaborate with engineering and the Digital Innovation Team to deploy AI/ML tools such as:
• Predictive maintenance models using sensor data
• Generative design and simulation tools (e.g., Autodesk Fusion 360, Siemens NX, nTopology)
• Computer vision for quality inspection
• Large Language Models (LLMs) for document automation and technical support
• Innovation Pipeline: Create a digital innovation roadmap aligned with business goals. Run pilot projects, track outcomes, and scale successful solutions.
• Cross-functional Collaboration: Act as a liaison between engineering, DI Team, production, and R&D to ensure cohesive adoption of digital solutions.
• Data Strategy: Help develop data governance practices, ensuring data collected from machinery, sensors, and ERP systems is clean, usable, and integrated for advanced analytics.
• Regulatory Compliance: In collaboration with the Data Governance team, ensure that solutions adhere to emerging regulatory requirements as well as complete any required reporting on our data practices.
• Training & Change Management: Develop training materials and lead change management efforts to ensure team adoption and understanding of new digital tools.
• Continuous Improvement: Stay ahead of industry trends, benchmark competitors, and propose continuous improvements using digital methodologies such as lean digital manufacturing or Industry 4.0/5.0 principles

To successfully perform the essential functions of this job, an individual must be willing and able to

• Travel as needed.
• Sit at a desk or computer for extended periods of time.
• Move about the office and factory with occasional lifting, bending and reaching.
• Dial, hear and respond to telephone calls and inquiries.
• Communicate effectively (visually and verbally) with internal and external contacts.
• Meet requirements of daily attendance on job for a full, continuous work schedule