Engineer, AI Process Intelligence at Micron · Hyderabad

Engineer, AI Process Intelligence
Location: Hyderabad - Phoenix Aquila, India
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 lifefor 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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