Production AI Lead & Data Ops Engineer

KLA

Ann Arbor Charter Township (MI)

On-site

USD 112,000 - 190,000

Full time

14 days+
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Job summary

KLA is seeking an AI Engineer to serve as a technical lead within a growth-oriented engineering team. The role combines hands-on AI development with mentoring responsibilities to shape scalable AI systems for internal tooling and customer-facing features.

The team ships actively; focus is on technical execution, reliability, and engineering best practices, with potential for broader leadership over time.

Qualifications

  • Requires 5–8 years building production software systems.
  • At least 2 years with AI/ML or LLM-based solutions in production.
  • Ability to deliver end-to-end AI systems or features.
  • Knowledge of modern AI development practices and system integration.
  • Experience across data pipelines, model serving, and application layers.

Responsibilities

  • Lead design, development, and deployment of production AI systems end-to-end.
  • Contribute hands-on to codebase and maintain high engineering quality.
  • Establish scalable patterns for evaluation, deployment, and reliability.
  • Conduct technical design reviews and guide architecture decisions.
  • Mentor engineers and participate in hiring and onboarding.
  • Collaborate with cross-functional stakeholders to deliver impactful solutions.
  • Translate experimentation into stable, production-ready systems.

Skills

Production software
AI/ML in production
End-to-end AI systems
System design
Mentorship
Cross-functional collaboration

Education

Bachelor's degree in CS/EE/Data Science
MS or PhD preferred

Tools

LLMs
Model serving
Data pipelines

Job description

KLA is seeking an AI Engineer to serve as a technical lead within a growth-oriented engineering team. The role combines hands-on AI development with mentoring responsibilities to shape scalable AI systems for internal tooling and customer-facing features.

The team ships actively; focus is on technical execution, reliability, and engineering best practices, with potential for broader leadership over time.

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