AI Deployment Architect for Scalable Production Apps

CoorsTek, Inc.

California (MO)

On-site

USD 115,000 - 145,000

Full time

4 days ago
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Job summary

CoorsTek, Inc. seeks an AI Deployment Engineer to design, develop, deploy, and support production software that weaves AI and automation into our advanced ceramics operations.

This hands-on role requires coding in Python and TypeScript, building APIs and integrations, reviewing AI-generated code, and delivering secure, scalable solutions across plant and enterprise environments. Travel up to 40% in year one may be necessary.

Qualifications

  • Degree in CS/engineering or equivalent professional experience.
  • 3+ years building, deploying, and supporting production software.
  • Experience with Python and/or TypeScript in production.
  • Familiarity with Git, code reviews, testing, and deployment processes.
  • Ability to work with REST APIs and enterprise integrations.

Responsibilities

  • Design, develop, test, deploy, and support production applications and AI-enabled solutions.
  • Collaborate with IT and business teams to translate needs into technical designs.
  • Review AI-generated code for correctness, security, and production readiness.
  • Lead solution delivery from discovery through early-life support.
  • Build front-end, service tier, APIs, integrations, and data layer components.
  • Ensure governance, logging, and security standards are met.
  • Coach citizen developers and move viable solutions into governed production.

Skills

Python
TypeScript
API integration
Software deployment
Code review
Git
Security best practices

Education

Bachelor's degree in CS/Software Eng
Equivalent professional experience

Tools

Azure
Databricks
REST APIs
Git

Job description

CoorsTek, Inc. seeks an AI Deployment Engineer to design, develop, deploy, and support production software that weaves AI and automation into our advanced ceramics operations.

This hands-on role requires coding in Python and TypeScript, building APIs and integrations, reviewing AI-generated code, and delivering secure, scalable solutions across plant and enterprise environments. Travel up to 40% in year one may be necessary.

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