Lead AI Architect for Production ML & Agentic Systems

Micron Technology, Inc.; Boise (ID); On-site; USD 145,000 - 360,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Paid time off

Paid holidays

Equity

Job summary

Micron Technology, Inc. is seeking a Lead Engineer in Applied AI and Agentic Systems to own the architecture and drive delivery of AI systems used across semiconductor engineering.

You will translate vague problems into concrete designs, plans, and working software, collaborating with product engineering, reliability, test, manufacturing, and systems teams. You will guide engineers, review designs, and contribute hands-on coding when needed, shaping the direction of AI, ML, and data science

Qualifications

• Bachelor's degree or higher in a technical field.
• 8+ years of relevant experience or equivalent.
• Led AI/ML/software programs as technical lead.
• Hands-on ML and statistical modeling.
• Python with ML libraries and production deployment.

Responsibilities

• Set architecture and technical direction for applied AI/ML/agentic AI work.
• Design end-to-end data pipelines, features, models, inference services, monitoring.
• Build models for prediction, diagnosis, optimization and decision support.
• Ship agentic AI for engineering analysis, knowledge retrieval, workflow automation, and decision support.
• Break challenges into roadmaps, report progress and risk to engineers and executives.

Skills

Machine learning

Software eng

Cloud deployment

Agentic AI

Python

Leadership

Education

Bachelor's degree in CS/EE/related

Master's or PhD (preferred)

Tools

PyTorch

TensorFlow

scikit-learn

XGBoost

CI/CD

Docker

Kubernetes

Job description

Micron Technology, Inc. is seeking a Lead Engineer in Applied AI and Agentic Systems to own the architecture and drive delivery of AI systems used across semiconductor engineering.

You will translate vague problems into concrete designs, plans, and working software, collaborating with product engineering, reliability, test, manufacturing, and systems teams. You will guide engineers, review designs, and contribute hands-on coding when needed, shaping the direction of AI, ML, and data science