AI Deployment Engineer
CoorsTek
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, developer-first role for someone with strong software development skills and experience delivering real applications, products, automations, or production solutions. This role is responsible for transforming defined workflow needs into secure, supportable, scalable, and measurable AI-enabled 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 ideation, prototyping, development deployment, and early-stage support, with an emphasis on repeatability, user adoption, responsible AI use, and successful transition into governed production environments.
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 requires approximately 40% travel both domestic/international. Salary range subject to location, as this role can be remote.
Roles and Responsibilities:
- Design, build, configure, test, deploy, and support solutions using approved enterprise AI, automation, application platforms, custom code, APIs, scripts, and integrations where appropriate.
- 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 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.
- Provide 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.
- 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.
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.
- 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.
- 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.
- 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.
Preferred Certifications
- Relevant Microsoft, Azure, AI, cloud, Databricks, automation, or application development certifications preferred.
If you like working for a company that makes a real difference in the world, you'll enjoy your career with us!
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