AI Deployment Engineer

🔥 22 hours ago

🌵 Arizona, California, +12 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🐎 Kentucky – Remote 🗻 New Hampshire – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote

💵 $115k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 0%

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CoorsTek, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1910

🏭 Manufacturing

🚘 Automotive

🎖️ Defense

Manufacturing • Automotive • Defense

CoorsTek, Inc. is a global leader in advanced materials with a focus on the development and manufacturing of technical ceramics. The company provides solutions across various industries including aerospace, automotive, electronics, medical, and semiconductor. CoorsTek is committed to innovation and sustainability, offering products such as orthopaedic ceramics and semiconductor processing components that provide high performance and durability. With a strong emphasis on environmental stewardship, CoorsTek has set corporate climate goals to minimize waste and maximize impact.

📋 Description

• Design, develop, test, deploy, and support production applications and AI-enabled solutions • Build solutions using custom code, APIs, cloud services, databases, integrations, and approved enterprise platforms • Serve as a technical guide for business teams and collaborate with users throughout solution design, prototyping, testing, refinement, and deployment • Manage solution delivery from discovery through deployment and early-life support, including scope, requirements, priorities, timelines, risks, testing, communication, and handoff • Write clean, maintainable, secure, testable, and documented code using disciplined software engineering practices • Translate business and operational needs into technical designs, prototypes, working software, and scalable production applications • Build front-end, service-tier, API, integration, automation workflow, and data-layer components • Diagnose defects, troubleshoot production issues, refactor prototypes, and harden solutions for enterprise use • Review and validate AI-generated code for correctness, security, maintainability, performance, and production readiness • Establish reusable components, deployment patterns, templates, documentation, and support practices across functions and manufacturing sites • Partner with IT architecture, security, infrastructure, data, and application teams on enterprise standards and responsible AI use • Support citizen developers and solution owners through guardrails, technical coaching, and governed production transitions • Collaborate with stakeholders across operations, engineering, quality, supply chain, commercial, finance, HR, and IT • Travel approximately 40% domestically and internationally during the first year, with travel potentially decreasing during the second year

🎯 Requirements

• U.S. citizen or lawful permanent resident required for ITAR-regulated employment • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Engineering, or a closely related technical field required, or equivalent professional software development experience may be considered in place of a degree • Three or more years of progressive work experience in information technology, automation, business systems, manufacturing technology, analytics, software delivery, AI enablement, or a related field • Three to five years of hands-on experience as a software developer or software engineer, shipping working code into business or operational environments • Ability to independently read, write, debug, modify, and explain production-quality code • Strong practical development experience using Python and/or TypeScript • Experience with Git, branching, pull requests, code review, testing, deployment, documentation, monitoring, and production support • Experience consuming, developing, securing, and troubleshooting REST APIs or comparable integration interfaces • Experience debugging applications through code analysis, logging, error handling, testing, and systematic problem diagnosis • Working knowledge of application security, authentication, authorization, secrets management, error handling, data protection, and secure development practices • Ability to assess AI-generated code for correctness, security, maintainability, and production suitability • Experience translating business process-improvement opportunities into practical technical solutions with stakeholders • Experience across cross-functional initiatives in a multi-site or global environment preferred • Experience with AI-assisted development tools, Azure-hosted applications, Databricks, manufacturing systems, HMI/SCADA, PLC-adjacent workflows, or plant automation environments preferred • Relevant Microsoft, Azure, software development, cloud, AI, Databricks, automation, or application-development certifications preferred • Completion of a short live coding exercise in a programming language of the candidate’s choice