AI Deployment Engineer; Enterprise
Listed on 2026-08-30
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IT/Tech
M365, SharePoint & Power Platform, IT Consultant, IT Business Analyst
AI Deployment Engineer (Enterprise Applications)
It's exciting to work for a company that makes the world measurably better. We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.
This is a hands-on, builder-first role responsible for building, deploying, supporting, and scaling practical solutions that advance Coors Tek's AI and automation strategy. You will develop and maintain internal applications, help replace SaaS tools, deliver AI-enabled and workflow automation solutions, and administer enterprise platforms, all while ensuring your work is secure, supportable, measurable, and aligned with approved standards, governance requirements, and deployment guidelines.
Operating at the intersection of AI, automation, application administration, and process improvement, you will collaborate with stakeholders across operations, engineering, quality, supply chain, commercial, finance, HR, and IT to understand their business processes, workflows, and constraints, then turn those defined needs into working solutions from prototype through deployment and ongoing support, helping IT modernize and streamline how we deliver services.
We are an ITAR Regulated Company and to be considered for employment with us you must be either a US Citizen or Lawful Permanent Resident. This role is Onsite at our Golden, CO Global Headquarters location.
Roles and ResponsibilitiesDesign, build, configure, test, deploy, and support solutions using approved enterprise AI, automation, and application platforms.
Develop prototypes, pilots, and production-ready solutions using approved enterprise patterns and governance requirements.
Partner with business groups, functional teams, and plant sites to understand workflows and translate defined and evolving use cases into scalable, working solutions. Provide practical support on design, testing, documentation, security, supportability, and deployment expectations.
Support Coors Tek's citizen development approach by helping business-led builders work within approved patterns and by promoting viable solutions into supportable enterprise models.
Partner across the IT function to influence design and ensure deployed solutions meet standards for identity, access, logging, resiliency, support, and responsible AI usage.
Help move solutions from prototype to governed production by supporting testing, ownership definition, deployment readiness, and handoff expectations.
Define and establish reusable deployment patterns, templates, and support practices so successful solutions can be repeated across functions and manufacturing sites.
Develop lightweight business cases and value measures for deployments, including time savings, productivity gains, reduced manual work, improved quality, lower risk, or better decision support.
Provides guidance to business users, local champions, and solution owners on prompt design, testing approaches, change adoption, and responsible use of AI tools.
Create and maintain documentation, knowledge assets, and handoff materials to support adoption, reuse, and operational continuity.
Support, troubleshoot, and enhance both existing enterprise applications and newly deployed solutions, providing early-life support after go-live while helping define longer-term ownership expectations.
Build, maintain, and monitor integrations across enterprise applications to ensure reliable data flow, system connectivity, and consistent performance.
Stay current on emerging AI tools and deployment patterns, and translate those capabilities into practical recommendations for Coors Tek.
Own solution scope, goals, timelines, and deliverables in collaboration with business and IT stakeholders, and communicate expectations clearly to team members and partners.
EducationBachelor's degree in Information Technology, Computer Science, Engineering, Data Analytics, Business, or a related field required.
Experience3 or more years of progressive work experience in information technology, automation, business systems, manufacturing technology, analytics, software delivery, AI enablement, or a related field.
2 or more years of hands-on experience…
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