Field IT Engineer

### Job Details####

Job Title:

Field IT Engineer  ####

Location:

Grand Island, NE, Nationwide United States,USA  #### Company:

McCain Foods  #### Industry Sector:

Food/Processing  ####

Industry Type:

Food & Beverage Products and Processing  #### Career Type:

IT/Software Development  #### Job Type:Full Time  #### Minimum Years Experience

Required:

5  #### Salary:$81,600.00 - $ . USD annually  #### Open Until:

August 10, 2026    ### Get Job Alerts
** Career Type:
** IT/Software Development   
** Country:
** USAI agree to receive alerts from  and to the Terms of Service.# Field IT Engineer Back to search results

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** Requisition
**** Job Description
** McCain has embarked on an ambitious digital transformation across our business from Agriculture to Manufacturing and commercial capabilities to enhance our Customer obsession.  As part of this transformation, we are making significant investments into our digital platforms, technology transformations and in building a data driven culture.  We are building digital products for our customers, suppliers/growers, and McCain team members to enable digital processes and data-driven automation.  

Through our investments, we will transform McCain into a company that empowers our teams with easy-to-use systems which will help them collaborate better, be productive and make data driven decisions.  Will you be part of this exciting journey?
** About the role.
** Reporting to the Regional IT Services Manager, this role serves as the primary onsite face of Digital Technology, delivering high-quality support across plant and office environments. The position owns end-to-end Plant IT and OT services, partnering with local and global teams to ensure reliable operations while driving automation, AI, and digital adoption to improve productivity and decision-making..
** What you’ll be doing.
*** Provide end-to-end Plant IT and OT support, ensuring high availability of plant systems and operations.
* Support and enable plant automation systems in collaboration with operations and engineering teams.
* Drive AI, data science, and digital use cases at the plant to improve efficiency and decision making.
* Deliver end user IT support, including desktops, laptops, peripherals, and local applications.
* Manage meeting room and collaboration technology to ensure seamless onsite and hybrid meetings.
* Support barcode and shop floor hardware including handheld scanners, printers, and VMUs.
* Oversee site server administration, including monitoring, maintenance, and troubleshooting.
* Manage physical security systems and coordinate with security and facilities teams.
* Execute the Evergreen program covering PC, network, and server refresh cycles.
* Maintain accurate IT asset records using HAM Pro and drive digital technology adoption, including user training and change communication at the plant.
* Ensuring that local IT infrastructure is physically secure, reliable, operational and meets current global IT standards, exceptions to be reported to the local Regional IT Services Manager.
* Acts as a conduit between IT and the local business and is often required to communicate complex IT systems and issues to senior business leaders in an understandable and professional manner.
* Monitor and manage local backups, data restoration, mobile device administration, and IT procurement activities.
* Perform software testing and deployments, providing feedback to Global IT teams to improve operational efficiency and user adoption.
** What you’ll need to be successful.
*** Bachelor’s degree in information technology, Engineering, Data Science/AI or Automation.
* Must be a champion of AI & Automation driving use cases.
* Hands-on experience designing, integrating, and operationalizing Large Language Models (LLMs) and Small Language Models (SLMs), including models and platforms such as OpenAI, Anthropic Claude, and similar, with a strong understanding of model selection, fine-tuning, prompt engineering, APIs, security, and enterprise-scale deployment within IT and data platforms.
* Proven experience in data and tag analysis within manufacturing…