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.
Key Responsibilities
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.
Preferred Qualifications & Experience
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
Pay Range
$109,300.00 - $143,430.00
Pay Range Explained
This role in Lexington, Kentucky pays between $109,300.00 and $143,430.00 per year, depending on your experience, skills, and background. Pay may vary in other locations. We offer a full benefits package, including medical, dental, vision, life insurance, disability coverage, a 401(k) with company match, employee stock purchase plan (ESPP), and paid time off. You’ll also be eligible for quarterly profit-sharing bonuses and flexible spending or savings accounts.
Equal Employment Opportunity Statement
FormFactor is an equal opportunity employer. FormFactor complies with all national, state, and local laws that seek to promote equal opportunities for any applicant or employee without regard to age, race, color, gender, gender identity/expression, national origin, sexual orientation, religion, disability, marital status, pregnancy or related condition, military service, or any other legally protected characteristics. These protections apply to all aspects of employment, including but not limited to, recruitment, hiring, training, promotions, and compensation.
For roles that are designated as remote-eligible, employees cannot be located in: AL, AK, AR, DE, GA, HI, IL, IA, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. A role is remote-eligible only when it is listed as "Remote" in the job location.
