Lead Applied AI & Agentic Systems Engineer

Micron Technology; San Jose (CA); On-site; USD 145,000 - 360,000; Full time

Benefits offered by this job

Medical insurance

Dental plan

Vision plan

Paid time off

Paid holidays

Equity

Job summary

Micron Technology is seeking a Lead Engineer, Applied AI and Agentic Systems to own architecture and drive the delivery of AI systems used by engineers daily. You will translate vague problems into designs and working software, guiding a team of engineers.

You bring depth in machine learning and strengths in software engineering, cloud deployment, and agentic AI, setting direction, reviewing designs, and mentoring others while coding alongside the team.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Electrical/Computer Engineering, Statistics, Mathematics, Physics or related field.
• 8 years of relevant experience or equivalent practical experience.
• Led complex AI, ML, data science, or software engineering programs as technical lead.

Responsibilities

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

Skills

Machine learning

Software engineering

Cloud deployment

Agentic AI

Python

Architecture & design

Education

Bachelor's degree (CS/DS/EE/Math/Physics)

Master's or PhD preferred

Tools

PyTorch

TensorFlow

scikit-learn

XGBoost

Kubernetes

Docker

Job description

Micron Technology is seeking a Lead Engineer, Applied AI and Agentic Systems to own architecture and drive the delivery of AI systems used by engineers daily. You will translate vague problems into designs and working software, guiding a team of engineers.

You bring depth in machine learning and strengths in software engineering, cloud deployment, and agentic AI, setting direction, reviewing designs, and mentoring others while coding alongside the team.