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Staff AI Engineer, SMAI Enablement

Micron Technology

Fab 10A, SingaporeFull TimeStaffH-1B sponsor company
Sign in to applyVerified
Location
Fab 10A, Singapore
Employment
Full Time
Work model
On-Site
Level
Staff
H-1B history
69 approvals (FY2023)
Posted

Skills

AngularBigQueryCI/CDGCPGenAIGitGitHub ActionsKubernetesPython

About this role

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. We are seeking an AI Engineer (E2-E4) to join the AI Engineering team within SMAI. In this role, you will develop, maintain, and enhance enterprise AI platforms and shared capabilities that enable AI solutions across Micron. You will collaborate with solution delivery teams, innovation teams, and business stakeholders to accelerate AI solution development and strengthen Micron's AI ecosystem. The successful candidate will contribute to AI platforms and services including GenieLLM, GenieLab, OpenCode, Omelek (O2), and other enterprise AI capabilities supporting innovation across Micron.

Responsibilities

AI Platform Engineering Develop, enhance, and maintain enterprise AI platforms and shared services. Design and implement reusable AI capabilities, integrations, frameworks, and accelerators that can be leveraged across multiple teams. Contribute to platform architecture, reliability, scalability, security, and operational excellence. Evaluate and adopt emerging AI technologies to improve platform capabilities and user experience. Support development and maintenance of platform capabilities utilizing AI, cloud, and developer productivity technologies. Solution Enablement Partner with solution delivery teams to enable successful development and deployment of AI-powered solutions. Develop reusable patterns, best practices, and technical guidance that accelerate AI solution delivery. Support integration of shared AI platform capabilities into business solutions. Collaborate with stakeholders to identify opportunities for applying AI technologies to business challenges. Platform Operations & Governance Maintain platform health, availability, performance, and service quality. Troubleshoot platform-related issues and drive root cause resolution. Support AI governance, security, privacy, and responsible AI practices. Develop and maintain technical documentation, operational procedures, and knowledge resources. Collaboration & Innovation Partner with SMAI Innovation to evaluate emerging AI technologies, prototypes, and solution concepts. Collaborate with product owners, architects, engineers, and business stakeholders to align platform capabilities with business needs. Contribute to platform roadmaps, architecture standards, and engineering best practices. Promote knowledge sharing and technical excellence across the organization.

Minimum Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. Experience developing, maintaining, or supporting enterprise applications, platforms, or technology solutions. Proficiency in Python. Experience with GitHub, source control, and collaborative development practices. Familiarity with APIs, system integrations, and modern application development concepts. Strong analytical, troubleshooting, and problem-solving skills. Strong communication and collaboration skills. Ability to work effectively in a global and cross-functional environment.

Preferred Qualifications

Experience with Generative AI technologies, Large Language Models (LLMs), and AI-powered applications. Hands-on experience with Open WebUI, OpenCode, MCP-based integrations, AI agents, or similar AI ecosystems. Experience with Google Cloud Platform (GCP) services such as Vertex AI, Google Kubernetes Engine (GKE), Google Cloud Storage (GCS), AlloyDB, and BigQuery. Experience developing or maintaining web applications using Angular. Experience with GitHub Actions, CI/CD pipelines, and deployment

Listing verified . Applications go through the company's official careers site.

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