DATA SCIENTIST, SMAI OI (AI Solutions Development)

Req. ID:

JR113262 DATA SCIENTIST, SMAI OI (AI Solutions Development)

Our vision is to transform how the world uses information to enrich life for all.

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.

Job Description

We are looking for a Data Scientist, SMAI OI (AI Solutions Development) who enjoys learning, building practical applications, and solving real-world data and software problems.

In this role, you will develop AI-enabled applications that help engineering and manufacturing teams access information, analyze operational data, retrieve knowledge, and make better decisions. You will combine AI technologies with software engineering, data integration, and user-focused application design to deliver solutions that are useful in real working environments.

The ideal candidate is a hands-on builder who can work across AI, software, data, and business needs. You should be comfortable turning unclear problems into practical solutions, working with users and engineering teams, learning new technologies, and improving solutions based on feedback.

Key Responsibilities

• Build AI assistants, natural-language interfaces, and other AI-enabled applications.
• Develop knowledge retrieval and document question-answering solutions using modern AI technologies.
• Integrate AI applications with databases, APIs, documents, reports, logs, and other enterprise data sources.
• Develop backend services, workflows, dashboards, and user interfaces that support data-driven decision making.
• Analyze structured and unstructured data to identify patterns, risks, opportunities, and useful insights.
• Work with users and cross-functional engineering teams to understand needs and deliver practical solutions.
• Translate business or operational problems into clear requirements, solution approaches, and actionable development plans.
• Build prototypes and improve them into maintainable, scalable, and user-friendly applications.
• Communicate solution designs, assumptions, limitations, and recommendations clearly to technical and non-technical audiences.
• Consider application quality, maintainability, security, performance, user experience, and operational supportability.
• Stay current with AI technologies, software frameworks, development tools, and relevant business domains.

## Required Qualifications

Qualified candidates will have:

• Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Data Science, Information Management, Industrial Engineering, Electrical Engineering, or a related field; equivalent practical experience may be considered.
• Hands-on experience building software applications, data-driven applications, backend services, APIs, or full-stack solutions.
• Strong programming experience in Python and working knowledge of SQL.
• Experience working with databases, APIs, documents, reports, logs, or other structured and unstructured data.
• Experience developing AI-enabled applications, or strong interest and demonstrated ability to learn and apply AI technologies.
• Ability to break down complex or ambiguous problems into actionable steps.
• Strong verbal and written communication skills.
• Ability to work effectively with users, engineers, and cross-functional stakeholders.
• Strong ownership, accountability, curiosity, and willingness to learn.
• Ability to work on multiple tasks and make progress with minimal supervision.

## Preferred Qualifications

Experience in the following areas is a plus:

• Large language model or generative AI application development.
• AI assistants, chatbots, document question answering, or knowledge retrieval.
• Retrieval-Augmented Generation (RAG), embeddings, vector databases, or semantic search.
• Prompt engineering, tool calling, agent workflows, or structured AI outputs.
• Full-stack web development or modern frontend / backend frameworks.
• RESTful APIs, backend services, data pipelines, or enterprise system integration.
• Experience with data visualization, dashboarding, or other user-facing ways of presenting data and insights.
• Cloud platforms such as Azure, AWS, or GCP.
• Git, Docker, CI/CD, monitoring, logging, or production support.
• Automated testing, testable feature design, or a DevOps mindset.
• Manufacturing, semiconductor, industrial, engineering, or other complex enterprise domain experience.
• Familiarity with digital twin, simulation, optimization, or decision-support concepts.
• Experience using AI-assisted development tools to improve coding, troubleshooting, testing, documentation, or productivity.

## Technologies and Practices

• Python and SQL
• Generative AI / LLM application development
• RAG / knowledge retrieval
• Vector databases / embeddings / semantic search
• AI assistants / chat interfaces / tool calling
• REST APIs and enterprise data integration
• Backend and full-stack application development
• Data processing and data visualization
• Git, Docker, CI/CD, and cloud platforms
• Automated testing, monitoring, logging, and application support

## Ideal Candidate Profile

The ideal candidate is an AI solution builder who can connect data, AI capabilities, software applications, and user needs to deliver practical results.

You do not need to be an expert in every technology listed above. We value candidates who can demonstrate strong fundamentals, learn quickly, communicate clearly, and turn ideas into solutions that users can understand and use.

We are especially interested in candidates who enjoy working on problems that combine AI, data, software engineering, and real-world operations.

## Education

Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Data Science, Information Management, Industrial Engineering, Electrical Engineering, or an equivalent field. Equivalent programming, application development, or AI solution experience may be considered.

Job Profile(s):

Data Scientist 2 - Data Scientist 4

Relocation level: (TBD)

Before Getting Started

Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:

• Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
• If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

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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 Benefits | Micron Technology, Inc

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, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.