AI Solutions Engineer NPI Function

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/DivisionThe KLA Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. Our services organization maximizes the value of our customers' KLA assets - with highly trained service and product support engineers providing installation services and 24/7 technical support and parts delivery through our extensive supply chain network. What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. Business Engagement & Opportunity Discovery (Primary Focus) Partner closely with NPI leaders, subject matter experts, and operational teams to understand business processes, priorities, and pain points. Identify opportunities where AI, automation, analytics, or digital solutions can improve efficiency, productivity, quality, or decision-making. Analyze current workflows and recommend innovative approaches to simplify operations and enhance business performance. Serve as a trusted advisor to stakeholders on evaluating and applying AI technologies to solve operational challenges. Continuously develop domain expertise in NPI operations to identify high-value opportunities for business transformation. AI Solution Design & Rapid Prototyping (Primary Focus) Translate business challenges into solution concepts, proof-of-concepts, and rapid prototypes. Develop lightweight AI-enabled applications, copilots, agents, workflow automations, and decision-support tools. Leverage modern AI technologies, large language models, enterprise knowledge systems, and AI-assisted development tools to accelerate solution delivery. Validate technical feasibility, business value, and user adoption through iterative experimentation and stakeholder feedback. Collaborate with Data Scientists to incorporate predictive models, analytics, and business insights into user-facing solutions. Business Adoption & Value Realization (Primary Focus) Drive pilot deployments and user adoption efforts to ensure solutions deliver measurable business outcomes. Gather stakeholder feedback and continuously refine solutions based on real-world usage. Define and monitor business success metrics, user engagement, and operational impact. Promote self-service capabilities that increase access to knowledge, insights, and decision-support tools across the organization. Product & Solution Management (Secondary Focus) Help prioritize AI opportunities based on business value, technical feasibility, and organizational impact. Develop lightweight solution roadmaps and implementation plans. Document business requirements, user feedback, and lessons learned from prototype development. Serve as the bridge between business stakeholders, Data Scientists, and AI engineering teams during productionization. Support the transition of successful prototypes into scalable enterprise solutions. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, or a related discipline. Experience developing software applications, business solutions, process automation, or digital transformation initiatives. Familiarity with AI technologies including large language models, retrieval systems, agents, workflow automation, or related technologies. Experience with Python,