Senior AI Engineer, Platform

Micron Technology

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Quick summary

Work type
On-site
Location
Boise, ID
Employment
Full-time
Posted
15 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $187k
$134k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,000–$223,825.

Based on 240 similar postings.

Employer

About Micron Technology

Micron Technology is a global leader in innovative memory and storage solutions including DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications. Industry: Semiconductor Memory & Storage

Micron Technology currently has 63 open roles on FindRole.

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At a glance

TL;DR · Senior AI Engineer, Platform

The Sr AI Engineer, Platform will join the SMAI Platform Engineering team as a hands-on technical individual contributor. This role involves building, operating, and maintaining the platforms that power analytics and AI workloads. Key responsibilities include designing and optimizing solutions across IaaS, PaaS, SaaS, and Infrastructure as Code, while monitoring platform performance, observability, costs, and resource utilization. The engineer will implement security controls like RBAC and collaborate with solution architects to deliver scalable architectures and automation for AI-driven business solutions. Required technical skills include experience with Apache Kafka, Kubernetes, and Terraform for Infrastructure as Code. Candidates must also possess familiarity with Machine Learning, Data Science, Generative AI, and Agentic AI concepts to support specific AI/ML platform workloads within the semiconductor industry.

What does a AI Engineer earn?

Median $211200 from 124 postings across 35 companies.

See salary data

What you'll do

  • Design, implement, and optimize solutions across IaaS, PaaS, SaaS, and Infrastructure as Code using Terraform.
  • Build, operate, and maintain platforms that power analytics and AI workloads.
  • Monitor platform performance, observability, costs, and resource utilization to identify optimization opportunities.
  • Implement and maintain security controls, including RBAC and industry-standard frameworks, to protect sensitive data.
  • Manage customer requests and maintain service standards to deliver high-quality platform support.
  • Document operational procedures, guidelines, and reusable patterns for internal teams and vendors.
  • Support AI/ML platform workloads including Machine Learning, Data Science, and Generative AI concepts.

What we're looking for

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related technical field.
  • 2–4 years of Platform Administration and/or Cloud Engineering experience.
  • Hands-on experience with Apache Kafka and Kubernetes administration, deployment, scaling, and monitoring in production.
  • Experience administering public cloud platforms and implementing Infrastructure as Code using Terraform.
  • Familiarity with Machine Learning, Data Science, Generative AI, and Agentic AI concepts.
  • Strong collaboration, communication, documentation, and problem-solving skills.
  • Strong foundation or administration of Unix (preferred).

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