Key Responsibilities
AI Product & Solution Development
Experience with the end-to-end product lifecycle turning a vision into a roadmap while driving adoption and value delivery
Design, develop, test, and deploy AI-powered products, applications, and intelligent workflow solutions
Utilize AI Assisted Development Tools to accelerate software development, solution design, and deployment activities
Support subject matter experts in translating business needs into designs and prototypes
Develop reusable frameworks, services, and components (such as AI Skills) that enable scalable AI adoption across the People Organization
AI Agent Engineering
Design and build AI agents capable of making business-context-aware decisions, taking actions across enterprise systems and workflows, and operating autonomously within defined guardrails.
Develop multi-agent systems that coordinate work across functions and platforms.
Implement agent orchestration, memory, tool integration, and workflow management capabilities.
Cross-Platform Collaboration & Integration
Build AI solutions that integrate and collaborate across multiple enterprise platforms.
Develop integrations utilizing APIs, event-driven architectures, and enterprise services.
Enable seamless interactions between agents, data sources, and systems to automate end-to-end business processes.
Create solutions that leverage enterprise knowledge, workflows, and operational data securely and responsibly.
Technology Innovation
Partner with leaders, process owners, and technology teams to identify AI transformation opportunities.
Apply HR domain knowledge to improve recruiting, onboarding, learning, employee services, talent management, workforce planning, and people analytics processes.
Drive innovation by rapidly prototyping, testing, and scaling AI solutions that create measurable business value.
Governance & Responsible AI
Ensure solutions comply with enterprise standards for security, privacy, compliance, and responsible AI.
Implement monitoring, observability, testing, and evaluation frameworks for AI systems.
Support the development of AI governance standards, best practices, and development guidelines.
Required Qualifications
Minimum Qualifications & Experience
Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
Hands-on experience delivering production software applications using Python-based backend technologies and modern software engineering practices.
Experience designing, developing, and deploying enterprise-grade Generative AI or Large Language Model (LLM) solutions.
Experience owning the end-to-end software development lifecycle, including solution architecture, development, testing, deployment, and production support.
Experience building cloud-native applications in distributed and microservices-based environments.
Experience developing AI-powered applications focused on workflow automation, conversational search, document intelligence, or knowledge retrieval.
Must-Have Technical Skills
Advanced Python development experience, including building scalable backend services and REST APIs using FastAPI or equivalent frameworks.
Hands-on experience with Large Language Models (LLMs), prompt engineering, model integration, and AI application development.
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, vector databases, embeddings, semantic search, and knowledge retrieval systems.
Experience developing production-grade AI agent systems using both LangChain and LangGraph.
Experience implementing multi-agent architectures, agent orchestration frameworks, tool-calling capabilities, reasoning workflows, and human-in-the-loop AI systems.
Experience designing and implementing Model Context Protocol (MCP) solutions, including MCP servers, MCP clients/hosts, tool registration, runtime tool discovery, and agent integration.
Experience integrating AI agents with enterprise APIs, databases, business applications, and external service ecosystems.
Experience deploying self-hosted open-source LLMs in Kubernetes environments using technologies such as KServe, vLLM, or equivalent model-serving platforms.
Experience deploying AI solutions using Kubernetes, Docker, Helm, GitOps, Argo CD, and CI/CD pipelines in production environments.
Experience with LLMOps or MLOps practices, including model serving, inference optimization, AI platform operations, and production AI lifecycle management.
Experience with distributed systems, asynchronous processing, workflow orchestration platforms, event-driven architectures, and message-queuing technologies.
Preferred Qualifications
Experience deploying and operating open-source foundation models in enterprise or production environments.
Experience with KServe, vLLM, Hugging Face, PyTorch, Temporal, RabbitMQ, Neo4j, or vector database technologies.
Experience developing document intelligence, AI-powered document processing, conversational search, or enterprise knowledge management platforms.
AWS Certified Developer Associate, Certified Kubernetes Application Developer (CKAD), or similar cloud-native certifications.
Experience architecting and deploying AI platforms that support multiple enterprise use cases and business functions.
Ideal CandidateIs a software engineer first and an AI innovator second.
Understands how enterprise work gets done across the People Organization, IT, and business functions.
Combines technical depth with strong business acumen.
Thrives in ambiguous environments and rapidly converts ideas into working products.
Thinks in terms of products, outcomes, and adoption rather than simply delivering
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 contact hrsupport_sg@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.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
