Senior AI Engineer

Job description

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. Job Summary:  We are seeking a technically proficient and proactive Senior AI Engineer to support, develop, and enhance cloud-based AI solutions, AI Agents, and custom applications across Microsoft Azure, Amazon Web Services AWS, and Google Cloud Platform GCP. This role will be responsible for designing, developing, deploying, and supporting enterprise-grade AI applications, agentic solutions, RAG-based systems, automation workflows, and cloud-native integrations.  The ideal candidate should have strong hands-on experience in AI Agent development, application development, multi-cloud AI platforms, backend and frontend engineering, DevOps, CI/CD, Infrastructure as Code, security, monitoring, and operational excellence. The role requires deep technical expertise, strong troubleshooting skills, and the ability to collaborate with cloud, application, data, security, and platform teams to deliver scalable, secure, and reliable AI capabilities.  Key Responsibilities:  1. AI Agent Development and Engineering  • Design, develop, and deploy AI Agents using cloud-native and open-source agent frameworks.  • Build agentic workflows using Azure AI Foundry Agent Service, AWS Bedrock AgentCore, LangGraph, Strands Agents SDK, Semantic Kernel, and AutoGen.  • Implement tool/function calling, memory, state management, checkpointing, multi-agent orchestration, and agent-to-agent workflows.  • Integrate enterprise tools, APIs, databases, knowledge bases, and automation systems using MCP Model Context Protocol and custom connectors.  • Design and implement RAG Retrieval-Augmented Generation solutions using vector stores, knowledge bases, and search services.  • Develop guardrails, prompt evaluation, content safety controls, tracing, and observability for AI Agent solutions.  • Optimize AI Agent performance, cost, latency, reliability, and user experience.  2. Custom Application Development  • Develop scalable web applications and internal tools to enable AI, automation, and cloud service capabilities.  • Build frontend applications using React, TypeScript, REST API integration, GraphQL integration, and secure authentication flows.  • Implement authentication and authorization using OAuth2, OIDC, and MSAL.  • Develop backend services using C#/.NET, Python FastAPI, or Node.js.  • Design and build microservices, APIs, event-driven services, and cloud-native integrations.  • Work with relational and NoSQL databases including SQL, Cosmos DB, and DynamoDB.  • Integrate messaging and event-driven platforms such as Azure Service Bus<