AI Strategy Engineer

The AI Strategy Engineer will drive AI enablement across Engineering Solutions and Infrastructure (ESI), advancing the adoption, alignment, and effective use of AI technologies. ESI includes Global Engineering Labs, Product Yield Enhancement, and Corporate Labs. This role partners with corporate AI teams, including IT, TPG, and product organizations, to ensure ESI remains aligned with enterprise AI strategy while accelerating AI capability and business impact. This is a high-visibility, leadership-facing individual contributor role focused on AI strategy, enablement, and governance. Working directly with ESI leadership, the AI Strategy Engineer will shape and operationalize ESI’s AI direction, driving organizational impact through influence, expertise, and cross-functional leadership rather than direct people management.

Responsibilities

• Partner with ESI leadership to define, maintain, and implement an AI strategy and roadmap aligned with enterprise AI priorities and business objectives.
• Drive adoption of AI technologies, AI-assisted development tools, and agent-based workflows across ESI through enablement, training, and communication programs.
• Evaluate emerging AI capabilities and enterprise solutions, providing recommendations on adoption, investment priorities, and business value.
• Develop and promote AI governance standards, usage guidelines, and guardrails to ensure responsible, scalable, and policy-aligned AI implementation.
• Build transparency into AI and software solutions across ESI by identifying opportunities for reuse, reducing duplication, and recommending solutions for scaling, enhancement, or retirement.
• Lead and support multi-functional AI initiatives by aligning key partners, defining priorities, and guiding solution development and prototyping activities.
• Define data and AI enablement strategies, including approaches for data pipelines and scalable AI solution deployment.
• Measure, track, and communicate AI adoption, business impact, efficiency improvements, and investment outcomes to ESI leadership and key internal partners., 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.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field.
• 5+ years of experience driving adoption of new technologies, digital transformation initiatives, or AI/ML solutions within complex organizations.
• 3+ years of experience working with AI technologies, including large language models (LLMs), AI-assisted development tools, agent-based workflows, or related AI platforms.
• Demonstrated experience influencing technical and business leaders and driving alignment across cross-functional teams without direct authority.
• Experience with technical tools and concepts such as Git, SQL, data management, analytics, or software development practices.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Data Science, Business, or a related field.
• Experience developing or implementing enterprise AI strategies, AI governance frameworks, or AI platform adoption programs.
• Experience leading cross-functional initiatives involving AI, data platforms, or software solutions across multiple organizations.
• Semiconductor manufacturing, engineering lab, or research and development environment experience.
• Experience evaluating, scaling, standardizing, or rationalizing technology solutions across large organizations.