Engineer, AI Process Intelligence

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 The Solutions Engineer sits within the Transform the Business pillar of Quality Systems and serves as the technical execution engine of the AI Process Intelligence team. This role operates at the intersection of process intelligence, automation engineering, and enterprise system integration—building production-ready AI agents, predictive models, and intelligent workflows that solve real operational pain points across Micron's Quality Management System.

The Solutions Engineer works hand-in-hand with Process Architects (who design and optimize the business processes) to ensure that solutions are architecturally sound, automation-ready, and aligned with Micron's AI governance framework. JOB RESPONSIBILITIES AI Agent Development & Deployment [Required] Design, develop, and deploy purpose-built AI agents that address real operational pain points across Quality Systems Build and maintain AI agent networks aligned to the QMS AI infrastructure maturity model Develop agentic workflows using frameworks such as LangChain, LangGraph, and Microsoft Copilot Studio, etc., ensuring agents are testable, governable, and production-ready Conduct User Acceptance Testing (UAT) with process stakeholders, collect structured feedback, and iterate to meet performance and accuracy thresholds Deploy AI solutions to production environments and establish monitoring, feedback loops, and lifecycle management practices Automation Workflow Design & Implementation [Required] Design and implement Robotic Process Automation (RPA) workflows using tools such as UiPath or Power Automate to eliminate high-volume, repetitive manual tasks Build and integrate predictive models and intelligent workflows that improve cycle times, reduce operational errors, and increase team capacity Execute automation initiatives to meet labor productivity, optimization, and efficiency gain targets Enterprise System Integration [Required] Integrate AI and automation solutions with Micron's enterprise platforms.

Support the Data Ecosystem development by ingesting controlled documents, process models, and requirements data into a unified AI-enabled platform Ensure all solutions comply with Micron's AI governance framework , data privacy protocols, and information security requirements Collaboration with Process Architects & Stakeholders [Required] Partner with Process Architects to understand process designs, business rules, and workflow requirements ensuring alignment between process intent and technical implementation Engage cross-functional stakeholders to gather requirements, validate solutions, and drive adoption Participates in Council meetings and project forums to communicate solution status, risks, dependencies, and value delivered Support change management activities including stakeholder communications, training, and go-live support for AI deployments Testing, Validation & Performance Monitoring [Required] Conduct structured testing and validation of AI agents and automation tools, including functional testing, accuracy benchmarking, and edge case analysis Define and track key performance indicators (KPIs) for deployed solutions (e.g., cycle time reduction, labor productivity savings, accuracy rates, adoption metrics) Monitor production performance and implement iterative improvements based on data insights and stakeholder feedback Troubleshoot and resolve technical issues with deployed AI agents and automation workflows in a timely manner Documentation & Knowledge Management [Required] Maintain clear and up-to-date technical documentation for all developed solutions, including architecture diagrams, integration maps, testing records, and deployment guides Contribute to the Data Eco System by ensuring solution artifacts, learnings, and best practices are captured and accessible Support the team's AI project portfolio management , including project charters, proof-of-concept documentation, and project closure reports AI Solution Architecture & Technical Innovation [Preferred] Apply knowledge of data engineering and model deployment practices to build scalable, maintainable AI solutions Explore and prototype emerging AI technologies (e.g., multi-agent orchestration, agentic AI architectures) to advance Micron's AI process intelligence capabilities Mentor junior team members and contribute to the team's AI literacy and capability building QUALIFICATIONS Technical Knowledge Required: Machine learning and AI frameworks (e.g., Python, LangChain, LangGraph, OpenAI APIs) Robotic Process Automation (RPA) platforms (e.g., UiPath, Power Automate) Data engineering and model deployment practices (data pipelines, APIs, model lifecycle) Enterprise system integration (Salesforce, Teamcenter, SAP, ServiceNow, Microsoft 365) AI agent architecture and agentic AI systems (multi-agent design, orchestration, feedback loops) AI validation, testing, and performance monitoring methodologies Understanding of Micron's process and system architecture (QMS, MMS, BPM framework) Familiarity with ISO 9001 / IATF 16949 quality management standards (Preferred) Core Skills: Skill Description AI Agent Model Development & Tuning Ability to design, train, test, and iterate AI agents for quality and process use cases Automation Workflow Design Design and implement end-to-end automation workflows that reduce manual effort API Integration & System Connectivity Connect AI tools with enterprise platforms via APIs and data connectors Agile Development & DevOps Practices Work in iterative cycles with structured sprint planning and delivery Troubleshooting & Iterative Improvement Diagnose and resolve issues with deployed AI/automation systems Cross-Functional Communication Communicate technical solutions clearly to non-technical stakeholders Project Management Manage solution development lifecycle using Agile/project management principles Behavioral & Professional Skills Skill Description Interpersonal and facilitation Builds effective working relationships across diverse teams; able to facilitate discussions, workshops, and alignment sessions with varied stakeholders Communication & Analytical Reasoning Assembles, analyzes, and evaluates data to provide clear, well-reasoned recommendations and decisions that support business stakeholders Self-Direction & Prioritization Operates independently with strong ability to multitask, manage competing priorities, and drive day-to-day activities without close supervision Organizational Excellence Demonstrates strong organizational discipline and meticulous attention to detail across documentation, project tracking, and solution delivery Growth & Feedback Orientation Responds positively to constructive feedback and applies it to continuously improve both personal performance and solution quality EXPERIENCE & Qualifications Experience Required 3–5 years of experience in software/AI engineering, automation, or data science.

Demonstrated ability to independently deliver AI/automation solutions. Experience integrating solutions with enterprise systems. Preferred experience includes: Building and deploying AI agents or chatbot solutions in enterprise environments Integrating AI/ML models Working in a Quality Management, Manufacturing, or Operations domain Delivering measurable labor productivity improvements through automation Experience with agile project delivery and iterative AI solution development Exposure to ISO 9001 / IATF 16949 quality standards or QMS environments EDUCATION Requirement Details Minimum Education Bachelor's Degree in Computer Science, Data Science, Software Engineering, Electrical Engineering, Information Technology, or a related technical field Preferred Education Master's Degree in Computer Science, AI/Machine Learning, Data Engineering, or equivalent advanced technical discipline Alternative Consideration Equivalent practical experience (5+ years) in AI engineering, automation development, or enterprise system integration may be considered in lieu of formal degree requirements Relevant Certifications (Preferred): Microsoft Azure AI Fundamentals / AI Engineer Associate UiPath RPA Developer / Advanced RPA Developer Python for Data Science / Machine Learning (Coursera, edX) LangChain / LangGraph Developer Certification Microsoft Copilot Studio Certification Project Management Professional (PMP) or equivalent Agile certification About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands.

Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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