Responsibilities
Lead the execution and long-term strategy of AI Engineering Operations initiatives, driving programs passionate about emerging AI technologies, sophisticated LLMs, multimodal systems, and agentic AI architectures.
Establish and scale operational processes, governance frameworks, roadmaps, metrics, and methodologies that enable consistent evaluation, prioritization, and execution across AI innovation programs.
Serve as the central point of coordination across research, engineering, infrastructure, data science, and business teams by managing resources, timelines, dependencies, risks, and technical roadblocks.
Partner with collaborators, SMEs, and leadership teams to define measurable objectives, track business impact, establish success metrics, communicate progress, and drive data-driven decision-making.
Advise senior leadership on technical feasibility, strategic tradeoffs, resource allocation, risk mitigation, and investment priorities while translating complex technical concepts into actionable business recommendations.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical field.
5+ years of experience leading complex technical programs with demonstrated success delivering large-scale, cross-functional, and global initiatives.
Proven expertise in program management, project management, operational leadership, and vendor relationship management within technology-focused organizations.
Demonstrated experience partnering with senior leaders and executives to drive strategy, influence decision-making, and communicate business impact through metrics and reporting.
Strong understanding of AI and machine learning concepts, including deep learning, neural network architectures, transformers, training and inference lifecycles, modern data processing workflows, and the ability to translate exploratory concepts into structured execution plans.
Preferred Qualifications
Experience leading AI, machine learning, data science, advanced analytics, or emerging technology programs from ideation through proof-of-concept and deployment readiness.
Solid understanding of large language models (LLMs), multimodal AI systems, agentic AI frameworks, and emerging AI technologies, including experience evaluating technical feasibility and business value.
Demonstrated success building operational processes, governance models, targets, and organizational frameworks that improve execution consistency across complex programs.
Experience identifying technical bottlenecks, managing competing priorities, and facilitating tradeoff discussions between research, engineering, infrastructure, and business partners.
Exceptional communication, customer management, and executive presentation skills with the ability to simplify complex technical topics for non-technical audiences and drive alignment across global teams.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
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