Ai Engineering Architect – Agentic Ai & Digital Engineering

KLA

Milpitas, CA, USA
Base: $186,200.00 - $316,500.00 annually; bonus/eq...
Agentic ai solutions
Tool-using llm workflows
Multi-agent systems
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

Job Summary

  • 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.
  • The goal is to reduce engineering iteration, improve decision quality, and accelerate development readiness for advanced EUV source and actinic inspection systems.
  • KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, investing 15% of sales back into R&D.

Matching Summary

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.

Salary

Base: $186,200.00 - $316,500.00 Annually; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(K) with matching, ESPP, tuition reimbursement, etc.

Skills & Requirements

Must-have

  • Agentic AI solutions
  • Tool-using LLM workflows
  • Multi-agent systems
  • RAG/vector-backed knowledge systems
  • Time-series forecasting
  • Anomaly detection
  • Predictive analytics

Nice-to-have

  • Engineering data integration
  • Semiconductor equipment experience
  • Optics and plasma systems
  • Translate engineering pain points
  • Scalable AI architectures

Key Requirements

  • Doctorate (Academic) Degree and 5 years related work experience
  • Master's Level Degree and 8 years related work experience
  • Bachelor's Level Degree and 12 years related work experience
  • Master’s or PhD in relevant field
  • Hands-on AI/ML solution deployment
  • Integrate AI into engineering systems
  • Experience with engineering data

Work Rights

Not specified

Tailored Resume

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