AI Engineer - People Technology

About the role

Micron's AI Engineer, People Technology, designs, develops and deploys AI-powered solutions that transform work across the People organization. The role combines software engineering, AI development and HR domain expertise to build intelligent applications, automations and agents that improve employee experience and operational efficiency. It suits a hands-on builder with proven experience using AI-assisted software development platforms to deliver enterprise AI solutions.

Key responsibilities

• Turn a product vision into a roadmap, then design, develop, test and deploy AI products, applications and intelligent workflow solutions, supporting SMEs in turning business needs into prototypes.
• Build AI agents that make business-context-aware decisions and act across enterprise systems, including multi-agent systems with orchestration, memory, tool integration and workflow management.
• Integrate AI solutions across enterprise platforms using APIs, event-driven architectures and enterprise services, and enable secure use of enterprise knowledge and data.
• Work with leaders and process owners to find AI opportunities and prototype, test and scale solutions that improve recruiting, onboarding, learning, employee services, talent management and people analytics.
• Ensure compliance with security, privacy and responsible AI standards, and support AI governance standards and best practices.

Required profile

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering or a related field.
• Hands-on experience delivering production software with Python-based backend technologies and the full software development lifecycle.
• Experience with enterprise-grade Generative AI or LLM solutions, cloud-native and microservices applications, and AI apps focused on workflow automation, conversational search, document intelligence or knowledge retrieval.
• Preferred: experience deploying open-source foundation models in production, and architecting AI platforms for multiple enterprise use cases.

Required skills

• Advanced Python, REST APIs with FastAPI or equivalent, and LLMs with prompt engineering and model integration.
• RAG, vector databases, embeddings and semantic search.
• LangChain and LangGraph, multi-agent architectures, tool calling and human-in-the-loop systems.
• Model Context Protocol (MCP) servers and clients.
• Kubernetes, Docker, Helm, GitOps, Argo CD, CI/CD and LLMOps/MLOps.
• Distributed systems, async processing, workflow orchestration, event-driven architectures and message queues.
• Preferred: KServe, vLLM, Hugging Face, PyTorch, Temporal, RabbitMQ, Neo4j, AWS Certified Developer Associate or CKAD.