AI Product Engineer

Micron Technology 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.

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  Own the end-to-end product lifecycle for AI solutions in the business function — from vision, roadmap, and backlog to adoption and measurable outcomes.

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  Lead discovery — user research, persona development, and requirements gathering — and maintain the product vision, roadmap, and prioritized backlog.

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  Serve as the single voice of the customer for the agile delivery team; translate business needs into user stories with clear acceptance criteria and facilitate backlog refinement, sprint planning, demos, and release planning.

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  Prototype GenAI and Agentic AI solutions, including prompt/context engineering and evaluation.

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  Integrate LLMs via APIs, function/tool calling, and structured outputs; test and validate AI agents that automate or augment business workflows.

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  Partner with data engineering to identify data sources, design pipelines/ETL, and ensure data quality, security, governance, and observability at scale.

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  Direct UX/UI design in partnership with developers; lead training, change management, and adoption strategy; build feedback loops for continuous iteration.

• A Master's degree or equivalent experience in Engineering, Data Science, Business Management, Information Systems, or a related area.

• 3+ years of experience across product management/ownership, business process analysis, data science, software development, and/or data engineering in semiconductor industry or related field

• Hands-on experience building and deploying LLM/GenAI applications, with strong Python, SQL, and data manipulation skills.

• Experience deploying applications and applying software engineering fundamentals — testing, version control, and API design.

• Strong customer and collaborator communication, backlog management, and systems-thinking skills to translate ambiguous business problems into shipped AI products.

• Prior experience as a Product Owner, Data Scientist, or Data Engineer.

• Proven experience partnering with business function stakeholders (Finance, Supply Chain, Sales, or Business Unit teams).

• MLOps/LLMOps tooling and production AI experience.

• Experience with Snowflake/Cortex and vector databases.

• Experience building multi-agent systems.

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.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at  hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

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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.   

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