Engineer, AI Process Intelligence

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

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 theTransform 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 withProcess 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 deploypurpose-built AI agents that address real operational pain points across Quality Systems
• Build and maintainAI agent networks aligned to the QMS AI infrastructure maturity model
• Developagentic workflows using frameworks such as LangChain, LangGraph, and Microsoft Copilot Studio, etc., ensuring agents are testable, governable, and production-ready
• ConductUser Acceptance Testing (UAT) with process stakeholders, collect structured feedback, and iterate to meet performance and accuracy thresholds
• Deploy AI solutions to production environments and establishmonitoring, feedback loops, and lifecycle management practices

Automation Workflow Design & Implementation [Required]

• Design and implementRobotic Process Automation (RPA) workflows using tools such as UiPath or Power Automate to eliminate high-volume, repetitive manual tasks
• Build and integratepredictive models and intelligent workflows that improve cycle times, reduce operational errors, and increase team capacity
• Executeautomation 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 theData Ecosystem development by ingesting controlled documents, process models, and requirements data into a unified AI-enabled platform
• Ensure all solutions comply with Micron'sAI governance framework, data privacy protocols, and information security requirements

Collaboration with Process Architects & Stakeholders [Required]

• Partner withProcess 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
• Supportchange management activities including stakeholder communications, training, and go-live support for AI deployments

Testing, Validation & Performance Monitoring [Required]

• Conductstructured testing and validation of AI agents and automation tools, including functional testing, accuracy benchmarking, and edge case analysis
• Define and trackkey performance indicators (KPIs) for deployed solutions (e.g., cycle time reduction, labor productivity savings, accuracy rates, adoption metrics)
• Monitor production performance and implementiterative 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-datetechnical documentation for all developed solutions, including architecture diagrams, integration maps, testing records, and deployment guides
• Contribute to theData Eco Systemby ensuring solution artifacts, learnings, and best practices are captured and accessible
• Support the team'sAI project portfolio management, including project charters, proof-of-concept documentation, and project closure reports

AI Solution Architecture & Technical Innovation [Preferred]

• Apply knowledge ofdata 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'sAI 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 ofMicron's process and system architecture (QMS, MMS, BPM framework)
• Familiarity withISO 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 deployingAI agents or chatbot solutions in enterprise environments
• Integrating AI/ML models
• Working in aQuality Management, Manufacturing, or Operations domain
• Delivering measurablelabor productivity improvements through automation
• Experience withagile project delivery and iterative AI solution development
• Exposure toISO 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.

To request assistance with the application process and/or for reasonable accommodations, please contacthrsupport_india@micron.com

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

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.   

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