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# AI Engineering Architect - Agentic AI & Digital Engineering

- **Company:** KLA Corporation
- **Location:** Milpitas, CA, United States
- **Salary:** $186,200.0 - $273,067.0
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Artificial Intelligence, Systems Engineering, Health Informatics, Data Centers, Data Systems, Interoperability, Knowledge-Based Systems, Machine Learning, Operational Data Store, Productivity Software, Requirements Traceability, Software Deployment, Systems Modeling Language, Systems Integration, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, Information Technology, Machine Learning Operations, Industrial Software
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5846733873

## About the Role

* 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., 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.

## Description

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA's product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The RAPID division leads the industry in reticle inspection solutions, helping ensure high lithography yields and cost-effective semiconductor manufacturing. Its systems support both mask shops and fabs by detecting defects early in the process, enabling faster, more reliable production., 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., * 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.