Jobs · Information Technology · Colorado

AI Deployment Engineer

CoorsTek, Inc. · Golden, CO · 6 days ago
Information TechnologyFull-time

Job Summary

Join CoorsTek, a leader in advanced ceramics manufacturing, as an AI Deployment Engineer. This role involves building, deploying, and scaling practical AI-enabled solutions to support CoorsTek’s AI and automation strategy.

Responsibilities

  • Design, build, configure, test, deploy, and support solutions using approved enterprise AI, automation, application platforms, custom code, APIs, scripts, and integrations.
  • 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 CoorsTek’s citizen development approach by helping business-led builders work within approved patterns and 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.
  • Create and maintain documentation, knowledge assets, and handoff materials to support adoption, reuse, and operational continuity.
  • Participate in early-life support and issue resolution for deployed solutions, while helping define longer-term ownership expectations.
  • Stay current on emerging AI tools and deployment patterns, and translate those capabilities into practical recommendations for CoorsTek.
  • Own solution scope, goals, timelines, and deliverables, in collaboration with business and IT stakeholders, and communicate expectations clearly to team members and partners.
  • Refactor, harden, and scale prototypes, internally built tools, and business-led solutions into production-ready applications that can be supported within enterprise standards.

Requirements

  • Education: Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Analytics, Business, or a related field required.
  • Experience: 3 or more years of progressive work experience in information technology, automation, business systems, manufacturing technology, analytics, software delivery, AI enablement, or a related field, including demonstrated hands-on experience building, deploying, and supporting production applications or enterprise solutions.
  • Software Development: 3-5 years of hands-on software development experience, with demonstrated experience shipping working code into business or operational environments. Strong practical development experience using Python and/or TypeScript, including front-end, service-tier, API, automation, scripting, and integration work.
  • AI Tools: Experience working with disciplined software development practices, including Git, branching, pull requests, code review, testing, deployment, documentation, and production support. Experience with AI-assisted development tools, Azure-hosted applications, Databricks, manufacturing systems, HMI/SCADA, PLC-adjacent workflows, or plant automation environments preferred.
  • Business Stakeholder Experience: Experience working directly with business stakeholders to identify process improvement opportunities and translate them into practical technical solutions. Experience working across cross-functional initiatives in a multi-site or global environment preferred.
  • Certifications: Relevant Microsoft, Azure, AI, cloud, Databricks, automation, or application development certifications preferred.

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