Jobs / Mic***
AI Workforce Development Engineer
Mic*** · Boise, ID, United States
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Boise, ID, United StatesOnsite
Remuneration
Not specified
Location
Boise, ID, United States
Visa sponsorship
Sponsors visa
Job summary
Our vision is to transform how the world uses information to enrich life for all . Mic*** is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The AI Workforce Development Engineer is the technical builder behind SMAI's upskilling mission.
Benefits
Are designed to help you stay well, provide peace of mind and help you prepare fAdditionally, MicronInclude a robust paid time-off program and paid holidays.For additional information regarding the Benefit programs available, please seeGuide posted on micron.com/careers/Micron is proud to be an equal opportunity workplace and is an affirmative actioTo learn about your right to work click here.To learn more about Micron, please visit micron.com/careersAI alert : Candidates are encouraged to use AI
Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related STEM field, or equivalent experience in practice.
- 3+ years in a software engineering, machine-learning, data science, solutions/forward-deployed engineering, or technical consulting role.
- Strong programming proficiency, particularly in Python (experience with JavaScript/TypeScript a plus).
- Hands-on experience building with generative AI—LLMs, prompt engineering, retrieval-augmented generation (RAG), and/or agentic workflows—and common AI/ML frameworks.
- Demonstrated ability to design and build end-to-end solutions or workflows, not just isolated components.
- Proven ability to explain complex technical topics clearly and to teach, mentor, or enable other engineers.
- Preferred
- Experience creating technical curriculum, workshops, labs, or developer enablement content at scale.
- Familiarity with MLOps / LLMOps, cloud AI platforms, APIs, and integration patterns.
- Experience building reusable templates, accelerators, or internal developer tooling.
- Exposure to manufacturing, engineering, or industrial data and use cases.
- Track record of driving measurable technical adoption inside an engineering organization.
Responsibilities
- Training & Upskilling of the SMAI Team - Build hands-on training content—labs, code samples, and exercises—for AI productivity
Skills
CommunicationLeadership
Certifications
Product Owner
Degrees
AssociateBachelorDegree
Industry
EducationHealthcareManufacturingMediaPublic-sector
Company size
EnterpriseSmb