AI Engineering Architect – Agentic AI & Digital Engineering
KLACompany Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.Job Description/Preferred Qualifications
The Advanced Technology of RAPID Division is seeking a builder-first AI Engineering Architect to define and deploy AI solutions for EUV source development and next-generation actinic inspection engineering. This role will focus on AI roadmap ownership and implementation across tool health analytics, intelligent troubleshooting, agentic workflow automation, AI-augmented MBSE / digital thread, routing/CAD/BOM workflows, and engineering productivity tools.
Why Join / Business Impact:
This role targets current bottlenecks in engineering planning and transformation, including tool health monitoring, root-cause analysis, procedure and document acceleration, digital-thread adoption, and engineering workflow productivity. The goal is to reduce engineering iteration, improve decision quality, and accelerate development readiness for advanced EUV source and actinic inspection systems.
Key Responsibilities
Own the AI roadmap for EUV source and digital engineering use cases; identify, prioritize, and sequence high-value opportunities tied to engineering impact.
Build AI solutions for source health analytics, anomaly detection, and predictive monitoring using engineering telemetry, metrology, and operational data.
Develop AI-assisted and agentic workflows for alarm audit, root-cause analysis, procedure creation, and engineering task automation.
Partner with engineering teams to enable AI-assisted modeling, digital thread, MBSE, and knowledge-grounded engineering workflows.
Support AI-assisted routing, CAD integration, model-to-BOM, and early BOM activities as part of engineering digital transformation.
Define AI observability, evaluation, tracing, and safe production deployment practices for engineering AI systems.
Preferred Qualifications
Experience with agentic AI, tool-using LLM workflows, multi-agent systems, or RAG/vector-backed knowledge systems.
Experience with time-series forecasting, anomaly detection, or predictive analytics for industrial systems.
Experience with MBSE, digital thread, SysML, requirements traceability, or model-centric engineering.
Experience with CAD/PLM/PDM integration, BOM workflows, or engineering data interoperability.
Experience in semiconductor equipment, capital equipment, optics, plasma, vacuum systems, or manufacturing engineering.
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years
- Master’s degree or PhD in Computer Science, AI/ML, Data Science, Electrical Engineering, Mechanical Engineering, Physics, Systems Engineering, or a related field.
- Strong hands-on experience building and deploying AI/ML solutions for complex engineering or industrial workflows.
- Experience with integrating AI into engineering data, software, or workflow systems.
- Experience with engineering data such as sensor streams, logs, structured/unstructured technical documents, or time-series datasets.
- Ability to translate ambiguous engineering pain points into scalable AI architectures and deployable solutions.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
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