AI​/ML Engineer​/Architect

Req :

JR108536 AI/ML Engineer/Architect

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.

• Research, evaluate, and prototype emerging AI/ML technologies and architectures to address engineering and operational challenges across SPG.
• Design, develop, and deploy scalable AI/ML solutions that improve productivity, quality, automation, and decision-making.
• Lead proof-of-concept and rapid prototyping efforts to validate new AI capabilities and demonstrate business value.
• Architect and integrate AI-powered applications into production environments while ensuring scalability, security, reliability, and maintainability.
• Develop and implement best practices for AI development, deployment, monitoring, governance, and lifecycle management.
• Drive adoption of Generative AI, Agentic AI, coding assistants, and intelligent automation tools across engineering organizations.
• Define and promote responsible AI standards, including model evaluation, compliance, security, transparency, and risk management.
• Partner with firmware, validation, product engineering, business operations, and software development teams to identify and prioritize high-impact AI opportunities.
• Provide technical leadership in selecting AI platforms, frameworks, and development tools.
• Present technical findings, architectural recommendations, and implementation strategies to stakeholders, engineering teams, and senior leadership.
• Mentor engineers and champion AI/ML best practices throughout the organization.
• Stay current on advancements in machine learning, large language models, agent frameworks, and AI-enabled software development methodologies.

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Software Engineering, or a related technical field.
• 2 - 5+ years of experience in software engineering, systems design, machine learning, artificial intelligence, or related technical disciplines.
• Experience developing and deploying software solutions using Python or similar programming languages.
• Hands‑on experience with AI/ML technologies, including machine learning frameworks, Generative AI, or Large Language Models.
• Understanding of software architecture, distributed systems, and scalable application design principles.
• Experience evaluating and integrating third‑party technologies, frameworks, and platforms.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent communication skills with the ability to explain complex technical concepts to technical and non‑technical audiences.
• Ability to collaborate effectively across multiple engineering disciplines and business functions.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 8+ years of experience in AI/ML engineering, systems architecture, research engineering, or advanced software development.
• Deep expertise with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI systems, and Generative AI applications.
• Experience using and extending modern AI development tools such as Claude Code, Git Hub Copilot, AI agents, and autonomous development frameworks.
• Experience building enterprise AI platforms, AI copilots, or intelligent automation solutions.
• Knowledge of MLOps, LLMOps, model deployment pipelines, monitoring, and governance frameworks.
• Experience establishing responsible AI, AI governance, security, or compliance standards.
• Familiarity with semiconductor, storage, SSD, firmware, validation, or systems engineering environments.
• Experience applying AI to engineering productivity, software development, test automation, validation, or product lifecycle workflows.
• Demonstrated ability to influence technical strategy and drive organizational adoption of emerging technologies.

Systems Design Engineer 2 - Systems Design Engineer 4

Relocation Level: TBD