Principal AI Solutions Engineer

Form Factor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle - from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon Form Factor's products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.

Rooted in our core values - Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People - we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.

The regular hours for this position are day shift.

The Principal AI Solutions Engineer supports Form Factor'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-ready applications, developing code, integrating systems, working with APIs, and delivering scalable 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 closely with stakeholders across Engineering, Manufacturing, Quality, Supply Chain, Finance, Human Resources, Sales, and IT to identify opportunities, translate business needs into technical solutions, and deliver value through the full software development lifecycle, including design, development, testing, deployment, governance, and support.

• Design, develop, deploy, and support AI-enabled applications, automation solutions, integrations, and enterprise software using approved technologies and platforms.
• Partner with business stakeholders to identify opportunities for AI, automation, and process improvement, translating business requirements into scalable, secure, and supportable solutions.
• Lead solution delivery through the full development lifecycle, including requirements, design, development, testing, deployment, documentation, and support.
• Develop and maintain applications, APIs, integrations, workflows, and data-driven solutions using modern software engineering practices.
• Build AI-enabled solutions utilizing enterprise AI platforms, large language models, and AI-assisted development tools while validating AI-generated code for quality, security, and production readiness.
• Troubleshoot applications, resolve technical issues, and continuously improve solution reliability, performance, and user experience.
• Partner with Architecture, Security, Infrastructure, and Data teams to ensure compliance with enterprise standards, governance requirements, and responsible AI practices.
• Establish reusable development standards, templates, and best practices that enable scalable solution delivery across Form Factor.
• Coach citizen developers and business solution owners while helping successful solutions transition into governed production environments.

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Engineering, or a related technical discipline.
• Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Experience in software engineering, application development, automation, AI enablement, analytics, digital transformation, or related technology disciplines.
• Hands‑on experience developing, deploying, and supporting production software applications and enterprise solutions.
• Strong programming experience with Java, Python, Type Script, JavaScript, C#, or similar modern development languages.
• Experience building and consuming APIs, integrations, and cloud-based services.
• Knowledge of software engineering best practices including source control, testing, code reviews, CI/CD, monitoring, and production support.
• Understanding of secure application…