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NEXTMOVEFDE careers · United States

AI Deployment Engineer

AI summary of the role

CoorsTek seeks an AI Deployment Engineer to build, deploy, and scale AI-enabled solutions in a hands-on, builder-first role.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Design, 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 and plant sites to translate defined and evolving use cases into scalable, working solutions.
  • Define and establish reusable deployment patterns, templates, and support practices for repeatability across functions and manufacturing sites.

What you’ll bring

  • Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Analytics, Business, or a related field.
  • 5+ years of progressive work experience in IT, automation, business systems, manufacturing technology, analytics, software delivery, or AI enablement.
  • 2+ years of hands-on experience building, configuring, deploying, or supporting AI-enabled solutions in an enterprise environment.
  • Experience working directly with business stakeholders to identify process improvement opportunities and translate them into technical solutions.

Technologies

AI · automation · Azure · Databricks · Microsoft · cloud · enterprise AI platforms

Source and classification

Internal deployment & tooling · Evidence for this classification:

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. Job Title AI Deployment Engineer The AI Deployment Engineer will support CoorsTek’s AI and automation strategy by building, deploying, and scaling practical AI-enabled solutions. This is a hands-on, builder-first role responsible for transforming defined workflow needs into secure, supportable, and measurable solutions while adhering to approved standards, governance requirements, and deployment guidelines. This role will collaborate with stakeholders across operations, engineering, quality, supply chain, commercial, finance, HR, and IT to understand business processes, workflows and operational constraints. The primary focus, however, is on delivering functional solutions from prototype
More from the job description

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. Job Title AI Deployment Engineer The AI Deployment Engineer will support CoorsTek’s AI and automation strategy by building, deploying, and scaling practical AI-enabled solutions. This is a hands-on, builder-first role responsible for transforming defined workflow needs into secure, supportable, and measurable solutions while adhering to approved standards, governance requirements, and deployment guidelines. This role will collaborate with stakeholders across operations, engineering, quality, supply chain, commercial, finance, HR, and IT to understand business processes, workflows and operational constraints. The primary focus, however, is on delivering functional solutions from prototype through deployment and early-stage support, with an emphasis on repeatability, user adoption, responsible AI use, and successful transition into governed production environments. **This role is Onsite at our Golden, CO Global Headquarters location** ** 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** Roles and Responsibilities: Design, build, configure, test, deploy, and support solutions using approved enter [... source excerpt omitted ...] e 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. Provide guidance to business users, local [... source excerpt omitted ...] Own solution scope, goals, timelines, and deliverables, in collaboration with business and IT stakeholders, and communicate expectations clearly to team members and partners. Job Requirements: Education - Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Analytics, Business, or a related field required. Experience - 5 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 building, configuring, deploying, or supporting AI-enabled solutions, automations, assistants, or light

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