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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal IT AI Engineer - **Company:** FormFactor - **Location:** Berea, KY, United States - **Experience:** Experienced - **Salary:** $109,300 - $143,430 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Application Integration Architecture, User Authentication, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Code Generation, Code Review, Information Systems, Computer Programming, Computer Engineering, Continuous Integration, Data Integration, Data Visualization, Software Design Patterns, DevOps, Web Development, Github, HP Systems Insight Manager, Python (Programming Language), Microsoft SQL Server, Object-Oriented Software Development, Performance Tuning, Release Management, OpenAI, Cloud Services, Software Engineering, Software Systems, Systems Integration, TypeScript, Workflow Management Systems, Enterprise Software Applications, Cloud Platform System, Microsoft Power Automate, GitHub Copilot, Large Language Models, Prompt Engineering, Software Security, Generative AI, Agentic-AI, Git, Microsoft Copilot Studio, AI Platforms, Information Technology, Deployment Automation, Data Analytics, Tools for Reporting, Api Design, Software Coding, Restful APIs, Software Version Control, Data Pipelines, Serverless Computing, Databricks - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/principal-it-ai-engineer-berea-ky--29cc7976-a727-430b-bc50-194c590f11b0 ## About the Role Artificial Intelligence (AI), Information Technology & Information Systems, Semiconductors, Manufacturing/Production Testing, Product Lifecycle, Profit & Loss, Performance Tuning/Optimization, Semiconductor Manufacturing, Communication Skills, Customer Relations, * Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Engineering, or a related technical discipline, or equivalent practical experience. * Typically 5+ years of experience in software engineering, application development, automation, AI enablement, analytics, or related technology disciplines. * Hands-on experience developing, deploying, and supporting production software applications or enterprise solutions. * Strong programming experience with one or more modern languages such as Java, Python, TypeScript, JavaScript, or C#. * Experience building and consuming APIs, integrations, and cloud-based services. * Working knowledge of software engineering practices including source control, testing, code reviews, CI/CD, monitoring, and production support. * Understanding of secure application development, authentication, authorization, data protection, and application security principles. * Experience with AI-assisted development tools, generative AI, large language models, or related AI technologies. * Strong analytical, problem-solving, and stakeholder communication skills. * Experience supporting global organizations, manufacturing operations, semiconductor, or other high-tech environments preferred. Preferred Technical Experience: * AI & Automation: Azure OpenAI, Microsoft Copilot Studio, GitHub Copilot, Power Platform, AI agents, LLMs, prompt engineering, AI-assisted development, and workflow automation. * Software Development: Java, Python, TypeScript, JavaScript, C#, REST APIs, web application development, object-oriented programming, and software design patterns. * Cloud & Data Platforms: Microsoft Azure, Azure Functions, Logic Apps, Databricks, SQL Server, cloud-native services, data integration, data pipelines, analytics platforms, and reporting solutions. * DevOps & Engineering Practices: GitHub, Git, CI/CD pipelines, automated testing, code reviews, source control, application monitoring, deployment automation, and release management. * Enterprise Applications & Integration: Enterprise application integrations, ERP platforms, workflow orchestration, API development, business intelligence, data visualization, process automation, and digital workplace solutions. Skills: AI Integration, AI Platforms, Artificial Intelligence Software, Artificial Intelligence Techniques, Business Analytics, Data Science Education & Experience: Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience | Required ## Description The Principal IT AI Engineer supports FormFactor's AI, automation, and digital transformation initiatives by designing, developing, deploying, and supporting software solutions that leverage artificial intelligence, workflow automation, enterprise integrations, and advanced analytics. This is a hands-on software engineering role requiring experience building production applications, developing code, integrating systems, working with APIs, and delivering reliable business solutions. The successful candidate will leverage cloud platforms, enterprise technologies, and approved AI capabilities to improve business processes, productivity, and decision making across the organization. The role partners with stakeholders across Engineering, Manufacturing, Quality, Supply Chain, Finance, Human Resources, Sales, and IT to understand business needs, translate requirements into technical solutions, and deliver solutions through the full software development lifecycle., * Design, develop, deploy, and support AI-enabled applications, automation solutions, integrations, and enterprise software using approved technologies and platforms. * Partner with business stakeholders and technical teams to identify opportunities for AI, automation, and process improvement and translate requirements into practical technical solutions. * Independently deliver solutions through the development lifecycle, including requirements, design, development, testing, deployment, documentation, and production support. * Develop and maintain applications, APIs, integrations, workflows, and data-driven solutions using modern software engineering practices. * Build AI-enabled solutions using enterprise AI platforms, large language models, and AI-assisted development tools, while validating AI-generated code for quality, security, and production readiness. * Troubleshoot complex application issues and improve solution reliability, performance, maintainability, and user experience. * Partner with Architecture, Security, Infrastructure, and Data teams to ensure solutions follow enterprise standards, governance requirements, and responsible AI practices. * Contribute to reusable development patterns, standards, templates, documentation, and engineering best practices. * Provide technical guidance to less-experienced developers, citizen developers, and business solution owners as appropriate.