IT Principal Technical Lead, AI & Automation

Forming Our Future togetherFormFactor, 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 FormFactor’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.Shift:The regular hours for this position are day shift.Job Description:The IT Principal Technical Lead, AI & Automation is responsible for leading the evaluation, implementation, governance, and adoption of Artificial Intelligence and Automation capabilities across FormFactor. This role partners with business and technology teams to identify high-value opportunities, deliver production-ready solutions, and establish the standards and implementation patterns required for scalable enterprise adoption. Success requires balancing innovation with pragmatism and delivering measurable business outcomes through secure, scalable, and maintainable AI-enabled solution.FormFactor is seeking to establish and scale the practical application of Artificial Intelligence and Automation across the enterprise. This hands-on technical leadership role is responsible for identifying high-value opportunities, implementing AI-enabled solutions, and creating the standards and governance required for safe, scalable adoption.Working closely with business and technology leaders, this individual will translate AI opportunities into measurable business outcomes. The role combines technical leadership, solution delivery, and adoption enablement to improve productivity, decision-making, operational efficiency, and quality across Engineering, Design, Manufacturing Operations, Supply Chain, Finance, HR, and Sales.The ideal candidate is a pragmatic builder who thrives in ambiguity, enjoys creating new capabilities, and focuses on delivering secure, production-ready solutions that create lasting business value rather than technology experimentation alone.Key Responsibilities: Develop and evolve the enterprise AI strategy, standards, governance frameworks, and usage policies to enable responsible, secure, and scalable adoption of AI technologies.Partner with business leaders across Design, Engineering, Manufacturing Operations, Supply Chain, Finance, HR, and other functions to identify, evaluate, and prioritize high-value AI and automation opportunities.Lead the evaluation, selection, implementation, and lifecycle management of AI platforms, tools, and services, ensuring alignment with business objectives and enterprise technology standards.Drive the delivery of AI and automation solutions from concept through production, leading cross-functional teams to solve business problems and deliver measurable value.Establish repeatable implementation patterns, reusable templates, best practices, and accelerators that enable rapid and consistent AI adoption across the enterprise.Collaborate with enterprise application, data, infrastructure, and security teams to integrate AI capabilities into existing business processes, systems, and workflows.Ensure AI and automation solutions comply with enterprise security, privacy, data governance, legal, regulatory, and responsible AI requirements.Measure adoption, business impact, and operational effectiveness of AI initiatives, continuously refining priorities and approaches based on outcomes and feedback.Serve as a trusted advisor to business and IT leaders, helping stakeholders understand AI capabilities, limitations, risks, and appropriate use cases.Mentor technical staff and help build organizational AI capabilities through coaching, knowledge sharing, and development of internal best practices.What Success Looks Like:Business teams can adopt AI solutions quickly, safely, and consistently without reinventing the wheel.AI and automation deployments are secure, governed, and aligned with enterprise technology standards.IT is viewed as a trusted advisor and enabler of innovation rather than a gatekeeper.AI initiatives deliver measurable improvements in productivity, quality, decision-making, or operational efficiency within the first year.Reusable patterns, governance frameworks, and implementation accelerators reduce the time required to deploy new AI solutions.Ideal Background:Experience leading or building AI, automation, analytics, or digital transformation capabi