Director, AI Enablement

Micron Technology

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Work type
On-site
Location
Boise, ID
Posted
46 days ago

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Similar $212k
$164k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $174,325–$249,821.

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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 19 open roles on FindRole.

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At a glance

TL;DR · Director, AI Enablement

As the Senior Leader of AI Strategic Enablement for Micron’s EnableAI initiative within the Enterprise Infrastructure and Security team, you will oversee agile delivery teams tasked with developing robust AI solutions that address core business challenges while ensuring security is foundational. Your day-to-day responsibilities include integrating automated security controls into CI/CD pipelines, positioning security as an enabler in AI projects, and establishing a strategic roadmap for enterprise AI architecture. You will also lead the cultivation of an AI engineering team, fostering innovation through experimentation and continuous learning. This role requires deep expertise in modern AI stacks like Azure OpenAI and MLOps ecosystems, along with experience managing teams in regulated environments and implementing governance frameworks such as “Governance as Code.”

What you'll do

  • Lead agile delivery teams to unify and scale enterprise-wide AI solutions.
  • Integrate automated security controls into Micron's AI ecosystem for robust protection.
  • Convert business challenges into actionable technical strategies with rapid deployment focus.
  • Establish a strategic roadmap for the enterprise AI architecture, emphasizing standardization.
  • Cultivate and guide an AI engineering team for around-the-clock delivery and innovation.

What we're looking for

  • 12+ years of software engineering/IT experience, including 10+ years in senior leadership for AI/ML portfolios.
  • Deep expertise in modern AI stacks, MLOps ecosystems, and security automation tools.
  • Proven track record leading teams in regulated environments with governance frameworks like "Governance as Code."
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Ability to convert business challenges into actionable technical strategies for rapid deployment.
  • Experience scaling AI initiatives across global organizations and building partnerships with cloud providers.

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