Manager, Full-Stack Engineering, SMAI

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.

Key Responsibilities

Organizational Leadership

Lead, mentor, and inspire a team of Full-Stack AI Engineers responsible for end-to-end solution delivery.

Build a culture centered around innovation, customer focus, operational excellence, engineering quality, and accountability.

Drive workforce planning, talent acquisition, onboarding, employee development, succession planning, and performance management.

Foster adoption of AI-first development practices, Agentic Coding, AI-assisted software engineering, and automation-driven productivity.

Develop future technical leaders and create growth opportunities for engineering talent across SMAI.

Establish engineering best practices, technical standards, and continuous learning programs.

Full-Stack AI Solution Leadership

Lead development and deployment of AI-powered enterprise platforms supporting manufacturing, planning, quality, productivity, and operational intelligence.

Drive end-to-end ownership across:

User Experience & Front-End Engineering

Application Development & APIs

Cloud Engineering

Data Engineering & Analytics

Machine Learning

Generative AI

Computer Vision

AI Operations (AIOps/MLOps)

Platform Engineering

Partner with Product Owners, Architects, AI Scientists, and business stakeholders to define technology roadmaps and execution strategies.

Ensure successful transition of solutions from proof-of-concept to resilient enterprise-scale deployments.

Drive enterprise-wide adoption of reusable AI frameworks, engineering accelerators, and standardized development patterns.

AI, Computer Vision & Generative AI Leadership

Lead engineering teams delivering:

Machine Learning Solutions

Predictive Analytics Platforms

Computer Vision Applications

Real-Time Monitoring Systems

Intelligent Automation Solutions

Generative AI Products

Autonomous Workflow Platforms

Enable enterprise AI capabilities including:

Retrieval-Augmented Generation (RAG)

Agentic AI Systems

Vector Databases

LLM Integrations

Enterprise Knowledge Platforms

Multi-Agent Solutions

Physical AI and Autonomous Systems

Drive adoption of Responsible AI principles including governance, transparency, explainability, compliance, security, and risk management.

Collaborate with AI Platform, MLOps, and Architecture teams to operationalize AI solutions at scale.

Cloud Platform & Engineering Leadership

Provide technical leadership across cloud-native technologies including:

Google Cloud Platform (GCP)

Snowflake

OpenShift

Kubernetes

Enterprise Integration Platforms

Streaming Data Technologies

Drive architecture, scalability, resiliency, security, and operational excellence for enterprise cloud platforms.

Lead implementation of:

Infrastructure as Code (IaC)

DevSecOps

CI/CD Pipelines

Platform Engineering

Cloud Automation

Observability and Monitoring Platforms

Govern cloud platform utilization, cost optimization, reliability, and performance.

Real-Time Analytics, Image & Video Intelligence

Lead development of advanced AI-powered solutions for:

Image Analytics

Video Intelligence

Digital Inspection

Defect Detection

Manufacturing Automation

Edge AI Applications

Architect low-latency, highly scalable systems capable of processing:

Streaming Data

Sensor Telemetry

Industrial IoT Signals

Image Workloads

High-Volume Video Streams

Drive implementation of real-time analytics frameworks supporting operational decision-making and intelligent automation.

Operational Excellence & AI Operations

Ensure production systems achieve high standards for:

Availability

Reliability

Security

Scalability

Performance

Lead incident management, operational support, platform governance, and service management processes.

Establish Service Level Objectives (SLOs), operational metrics, and performance monitoring standards.

Implement automated observability, alerting, remediation, and reliability engineering practices.

Drive adoption of MLOps, AIOps, and continuous improvement methodologies.

Business & Stakeholder Partnership

Collaborate closely with Manufacturing, Assembly & Test, Quality, Planning, Engineering, Operations, and Corporate Functions.

Translate business priorities into scalable technical solutions and execution plans.

Drive prioritization, resource planning, technology investments, and delivery governance.

Communicate strategy, architecture direction, technology roadmaps, and business outcomes to executive leadership.

Build strong partnerships across global engineering organizations to accelerate innovation and delivery.

Qualifications & Experience Required

10+ years of experience delivering enterprise-scale software, cloud, data, analytics, or AI solutions.

6+ years of people leadership and engineering management experience.

Proven experience building and leading high-performing engineering organizations.

Strong experience designing and deploying cloud-native solutions on:

Google Cloud Platform (GCP)

Snowflake

Azure and/or AWS

Strong software engineering background with expertise in:

Application Development

APIs

Microservices

Distributed Systems

Experience delivering AI, machine learning, analytics, computer vision, or intelligent automation solutions.

Strong programming experience in Python and modern software development frameworks.

Strong expertise in SQL, data platforms, and data engineering concepts.

Experience working with DevOps, DevSecOps, CI/CD, Infrastructure as Code, and cloud deployment practices.

Excellent stakeholder management, organizational leadership, and executive communication skills.

Preferred

Experience with Generative AI, Large Language Models (LLMs), and AI agent frameworks.

Experience implementing:

RAG Architectures

Vector Databases

Agentic AI Systems

Enterprise Knowledge Platforms

MLOps and AIOps Frameworks

Experience with Kubernetes, OpenShift, and cloud-native application platforms.

Experience delivering:

Computer Vision Solutions

Image Analytics Platforms

Video Intelligence Systems

Edge AI Applications

Real-Time Data Processing Solutions

Understanding of Semiconductor Manufacturing and Assembly & Test business domains.

Experience leveraging AI Coding Assistants, Agentic Development Platforms, and AI-driven engineering tools.

Exposure to Digital Twins, Physical AI, Autonomous Systems, and Industrial AI platforms.

Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Education

Bachelor’s degree in computer science, Computer Engineering, Data Science, Artificial Intelligence, Information Systems, or a related technical discipline.

Master's Degree preferred.

Role Impact

This role serves as a strategic bridge between business transformation, AI innovation, cloud engineering, software development, and scalable product delivery. The Manager, Full-Stack AI Engineering will play a critical role in accelerating Micron's AI-first vision by delivering intelligent platforms that power manufacturing automation, predictive quality, yield optimization, operational intelligence, and next-generation digital capabilities across the enterprise.

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

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_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.

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