AI Engineering Architect – Agentic AI & Digital Engineering

About the role

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.

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.

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.

Preferred 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.
• 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.

Pay

Base Pay Range: $186,200.00 - $316,500.00 Annually