AI Engineering Architect – Agentic AI for Engineering

KLA-Belgium; Milpitas (CA); On-site; USD 186,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) matching

Employee stock purchase program

Job summary

KLA in Milpitas, CA, seeks a builder‑first AI Engineering Architect to define and deploy AI for EUV source development and actinic inspection. You will own the AI roadmap and drive analytics, automation, and MBSE integration across engineering workflows.

Ideal candidates have 5+ years building AI/ML for complex engineering, with experience in time-series data, anomaly detection, MBSE, CAD/BOM integration, and multi‑agent systems.

Qualifications

• Doctorate (Academic) Degree and related work experience; Master’s degree or PhD in Computer Science, AI/ML, Data Science, Electrical Engineering, Mechanical Engineering, Physics, Systems Engineering, or related field.
• Experience with integrating AI into engineering data, software, or workflow systems.
• Ability to translate ambiguous engineering pain points into scalable AI architectures and deployable solutions.

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.

Job description

KLA in Milpitas, CA, seeks a builder‑first AI Engineering Architect to define and deploy AI for EUV source development and actinic inspection. You will own the AI roadmap and drive analytics, automation, and MBSE integration across engineering workflows.

Ideal candidates have 5+ years building AI/ML for complex engineering, with experience in time-series data, anomaly detection, MBSE, CAD/BOM integration, and multi‑agent systems.