Manufacturing Solutions Specialist Job

About the role

The Manufacturing Solutions Specialist is an entry-to-mid-level individual contributor responsible for providing foundational technical support and assisting with the maintenance of software, infrastructure and application components within the manufacturing environment.

Responsibilities

• AI & Data Support: Leverages approved AI tools (such as Copilots or LLMs) to assist in troubleshooting and documentation, while supporting the integrity of manufacturing data sets used in predictive models and automated reporting.
• Application Support: Assists in the basic configuration, testing, and maintenance of business-specific custom and standard applications.
• Requirements Gathering: Participates in meetings with business users to document current processes and help identify technical requirements for system improvements.
• Change Management: Supports the promotion of code and configuration changes by drafting basic functional specifications and performing initial validation testing.
• Project Assistance: Acts as a technical resource on small systems or business projects, completing assigned tasks within established timelines.
• Documentation: Maintains accurate and up-to-date documentation for existing processes, system topologies, and end-user training materials.
• Operational Maintenance: Monitors system performance and performs routine administrative tasks to ensure optimal daily operations.
• Incident Response: Serves as a point of contact for user incidents, providing timely resolution for common software and infrastructure problems or escalating complex issues to an Analyst.
• Standardization: Follows established best-practice standards and policies to ensure global consistency across manufacturing sites.
• Vendor Coordination: Assists in gathering data or technical details required for vendor interactions and support tickets.
• Continuous Learning: Researches emerging technologies and manufacturing trends to build the foundational knowledge necessary for advancement to the Analyst level.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field—or an equivalent combination of education and experience—with a preferred foundational understanding of AI/ML principles or related certifications.
• High School Diploma/GED required.
• Exposure to AI/ML coursework or foundational certifications (e.g., Microsoft Azure AI Fundamentals) is preferred.
• Working knowledge and experience with Microsoft Office products.
• Working knowledge of application architecture in a manufacturing environment is preferred.

What will make you successful

• AI Literacy: Foundational understanding of Generative AI principles and a proactive interest in applying AI-driven tools to improve daily technical workflows and data accuracy.
• Technical Familiarity: Basic understanding or exposure to .NET, SQL Server, C#, HTML, or JavaScript. Familiarity with reporting (Power BI), scripting (PowerShell) and version control (TFS/Git) is a plus.
• Mechanical Context: Interest in or basic knowledge of technologies commonly utilized in a manufacturing or industrial environment.
• Communication: Clear verbal and written communication skills, with the ability to explain technical steps to non-technical plant personnel.
• Problem Solving: Strong analytical mindset with a focus on accuracy and attention to detail when troubleshooting routine issues.
• Infor Visual experience preferred but not required.
• Adaptability: Ability to manage multiple support tickets or tasks concurrently in a fast-paced environment.
• Collaboration: A team-oriented mindset with a willingness to learn from senior technical staff (Analysts and Architects).
• Customer Service: A strong service orientation and the ability to build positive relationships with shop-floor users and office staff.