Enterprise Architect

CoorsTek•Golden, CO

About The Position

As the Enterprise Architect, you will support CoorsTek’s technology, application, and AI strategy by defining practical architecture patterns and helping teams build secure, supportable, and scalable solutions across business functions, R&D, and manufacturing environments. This is a senior individual contributor role reporting to the Vice President of IT. This role is intentionally hands-on. You will serve as both architect and builder partnering with IT leaders, developers, data and AI teams, and business stakeholders to move ideas from concept to governed production while scaling citizen development and reusable AI application patterns.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Software Engineering, Engineering, Data Analytics, or a related field required
10 or more years of progressive work experience in enterprise architecture, software engineering, application development, integration, AI-enabled solutions, or a related field.
Strong hands-on software development experience using Python and TypeScript, including front-end, service-tier, API, and integration work.
Experience establishing or operating within disciplined software development lifecycle practices, including Git, branching strategies, pull requests, peer review, testing, release management, and support handoff.
Experience designing solution, application, integration, or enterprise architecture in complex, international business environments.
Experience helping teams build or govern internal applications, lightweight business apps, or AI-enabled solutions in enterprise environments.

Nice To Haves

Master’s degree preferred
Relevant Microsoft, Azure, architecture, cloud, software engineering, AI, or Databricks certifications preferred.
Experience supporting manufacturing, industrial, plant, engineering, or multi-site global environments preferred.
Experience with Azure-hosted application patterns, modern CI/CD, AI-assisted development tools, Databricks, or governed data and AI platforms preferred.

Responsibilities

Serve as the final technical authority for complex, cross-functional architecture decisions impacting enterprise platforms and AI-enabled systems.
Define and evolve enterprise architecture patterns, technical standards, and delivery guardrails aligned with CoorsTek’s business priorities, AI strategy, application modernization needs, and citizen development approach.
Act as a hands-on architect and builder by designing, prototyping, reviewing, and, where needed, developing solutions across front-end, service-tier, API, integration, and AI-enabled application layers.
Partner with business leaders, IT teams, and solution builders to translate business needs into practical solution, application, data, and integration architectures.
Provide hands-on guidance to teams building with approved AI-assisted development tools and platforms, including Microsoft Copilot, ChatGPT, Codex, Claude, Claude Code, Replit, Azure-hosted applications, and other approved enterprise tools.
Define and reinforce software development lifecycle, including Git-based workflows, branching strategy, pull requests, code review, testing, release management, and production readiness.
Review solution designs and code to improve quality, maintainability, security, resiliency, and alignment to enterprise architecture standards.
Help teams move solutions from prototype to governed production by establishing patterns for hosting, secrets management, logging, monitoring, support ownership, and lifecycle management.
Support the development of internal applications, integrations, APIs, and AI-enabled solutions that interact with enterprise and plant systems through approved methods and patterns.
Coach developers, engineers, analysts, and citizen developers on architecture principles, AI application patterns, coding standards, and production readiness.
Develop reusable templates, sample applications, reference implementations, and playbooks that accelerate delivery and improve consistency across teams.
Partner with cybersecurity, infrastructure, enterprise applications, and data teams to ensure architectures incorporate identity, access control, observability, supportability, and responsible AI usage.
Anticipate emerging trends in AI tools, coding assistants, cloud application patterns, and software engineering practices, and translate those capabilities into practical recommendations for CoorsTek.