https://www.micron.com

Engineer AI Micron - Hiring 2026


Explore the latest Micron jobs 2026 and find exciting career opportunities. Micron is currently hiring for Fresher/Experienced professionals. This vacancy is entitled as a Bangalore jobs, offcampus jobs in Micron, and also explore all other Engineer AI Micron - Hiring 2026 listings. Don't miss this chance to kickstart your career with Micron today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.

About Micron

Engineer AI Micron - Hiring 2026

Micron began in 1978 as a four-person semiconductor design company in the basement of a Boise, Idaho, dental office. By 1980 we had broken ground on our first fabrication plant, and then just a few years later we introduced the world’s smallest 256K DRAM. In 1994, we earned a spot on the Fortune 500 and steadily grew into an industry leader through our technology innovations, key partnerships, and strategic acquisitions around the world.

Micron is a world leader in innovative memory solutions that transform how the world uses information. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.

Job Details

Job Details Table
Company Micron
Position Engineer AI
Location Bangalore
Job Type Full Time
Experience Fresher/Experienced
Website https://www.micron.com

Qualifications

  • Bachelor’s or master’s degree in computer science, AI, Machine Learning, Data Science or related field. 
  • Fresh graduates or professionals with up to 2 years of experience in software development or AI/ML engineering.
  • Strong understanding of AI concepts, machine learning pipelines, and automation tools. 
  • Hands-on experience or coursework in Copilot Studio, UiPath, and SharePoint. 
  • Knowledge with cloud AI platforms: Azure AI Foundry, AWS Bedrock, and/or Google Vertex AI.

Responsibilities

  • AI Solution Development: Build and deploy AI-driven tools and workflows using platforms like Copilot Studio, UiPath, and other automation frameworks. 
  • Integration & Enablement: Connect AI agents with enterprise systems (e.g., SharePoint, M365), external APIs, knowledge bases, and ensure seamless interoperability. 
  • Process Automation: Identify repetitive tasks and design intelligent automation solutions to improve efficiency. 
  • Collaboration & Training: Partner with cross-functional teams to enable AI literacy, create best-practice documentation, and support internal training sessions

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