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AI Workforce Development Specialist

Micron Technology
Hyderabad, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

Preferred Qualifications:

  • Master’s degree in Education, Communications, Human Resources, Business, STEM, or a related field, or equivalent practical experience.
  • Experience administering an LMS or skills/learning platform (catalog, learning paths, reporting).
  • Experience managing external partnerships—with universities, vendors, or technology partners.
  • Background in change management or driving technology adoption across an organization.
  • Instructional design exposure and familiarity with measuring learning impact and adoption metrics.
  • Experience in a manufacturing, engineering, or technology environment.
  • About Micron Technology, Inc.
  • We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
  • Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
  • Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
  • AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
  • Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
  • We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
  • To learn more, please visit micron.com/careers
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  • To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]

Qualifications

  • Bachelor’s degree in Education, Communications, Human Resources, Business, STEM, or a related field, or equivalent practical experience.
  • 3+ years of experience in program management, learning & development, enablement, communications, or a related subject area, including the design and delivery of training programs.
  • Strong project management skills capable of managing multiple initiatives, timelines, and key leaders simultaneously.
  • Excellent written, verbal, and presentation skills, with the ability to translate complex or technical concepts into clear, engaging content.
  • Familiarity with AI tools that enhance efficiency and a strong interest in bringing to bear AI-enabled solutions to improve learning, enablement, and business outcomes.

Responsibilities

  • Training & Upskilling of the SMAI Team - Own and drive the SMAI training agenda and the sharing of Best Known Methods (BKMs) for AI productivity tools, ensuring a steady cadence of high-quality, well-attended sessions. Coordinate training on new ways of working, including end-to-end (E2E) AI workflows, partnering with subject-matter experts to schedule, promote, and run sessions. Design and manage structured upskilling pathways that move team members into emerging roles such as AI Product Owner and E2E AI Full-Stack Developer. Administer skills and training platforms (LMS / learning platforms): curate catalogs, run enrollments and learning paths, and maintain content libraries. Define and track learning metrics—participation, completion, skill attainment, and adoption—and report progress to leadership.
  • Partner Capabilities - Coordinate communications around external conferences and announcements from our technology partners, ensuring relevant updates reach the right SMAI audiences. Lead targeted, strategic collaboration with a select group of universities—owning the relationship cadence, joint program logistics, and follow-through.
  • AI Innovations - Organize and run the Generative AI expert series and master classes, from speaker coordination and scheduling to promotion and post-session follow-up. Facilitate innovation sharing across SMAI, creating the venues, formats, and channels that surface and spread new ideas.
  • Technical Leadership Program (TLP) - Coordinate the data science technical seminar series, managing logistics, speakers, and attendance. Support mentoring programs and help clarify and communicate the expectations for advancement into and within the TLP.
  • Upskilling Outside SMAI (Citizen Data Science Development) - Coordinate citizen data science development upskilling programs that extend AI capability beyond SMAI to the broader enterprise. Build communications, onboarding, and community-of-practice structures that help non-specialists adopt approved AI tools responsibly.

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