AI Engineering Architect - Agentic AI & Digital Engineering

Company Overview

Group/Division

Job Description/Preferred Qualifications

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; Masters Level Degree and related work experience of 8 years; Bachelors Level Degree and related work experience of 12 years

• Masters 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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