Senior AI Engineer

Req. ID: JR106430 Senior AI Engineer 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, AWS SQS, and AWS SNS. * Implement backend testing, API testing, unit testing, integration testing, and code quality practices. * Ensure application solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards. 3\. Cloud AI Services Support * Deploy, manage, and support AI/ML workloads across Azure, AWS, and GCP. * Support Azure AI Foundry, Azure OpenAI, Azure AI Search, model deployments, evaluation, tracing, tool/function calling, and content safety controls. * Support AWS Bedrock, Bedrock Studio, Amazon Q Business, Bedrock Knowledge Bases, Guardrails, and Bedrock AgentCore. * Support GCP Vertex AI, Vertex AI Search, and Gemini Models. * Ensure secure and compliant deployment of AI services, APIs, agents, and applications. 4\. Cloud Operations and Optimization * Resolve complex cloud infrastructure and AI platform issues across Azure, AWS, and GCP. * Perform root cause analysis for incidents related to AI services, agents, applications, APIs, integrations, and cloud platforms. * Manage and optimize cloud resources including compute, storage, networking, databases, containers, and AI services. * Implement and monitor backup, disaster recovery, high availability, resiliency, and operational readiness. * Identify automation opportunities to reduce manual effort and improve operational efficiency. * Optimize cloud and AI workloads for cost, performance, security, and reliability. 5\. Automation, DevOps and CI/CD * Develop automation using PowerShell, Python, Terraform, and cloud-native tools. * Implement Infrastructure as Code using Terraform and Bicep. * Design and maintain CI/CD pipelines using GitHub Actions and Azure DevOps. * Automate build, test, security scan, deployment, and environment promotion workflows. * Support containerized deployments and cloud-native release patterns. * Integrate automated validation, testing, approval gates, and release controls. * Improve deployment reliability for AI Agents, APIs, applications, infrastructure, and cloud services. 6\. Version Control and Engineering Practices * Use Git effectively for source control, branching, merging, pull requests, and code reviews. * Follow branching strategies such as trunk-based development or GitFlow. * Manage code repositories in GitHub, Azure Repos, or GitLab. * Resolve merge conflicts and maintain clean, reviewable code history. * Participate in PR reviews, enforce coding standards, and promote secure development practices. * Maintain reusable templates, libraries, automation scripts, and shared engineering assets. 7. Observability, Reliability and Support * Implement monitoring, logging, tracing, and alerting for AI Agents, applications, APIs, and cloud services. * Support observability for AI platforms including agent traces, tool calls, model interactions, latency, failure rates, and usage trends. * Troubleshoot production issues involving AI workflows, integrations, authentication, service connectivity, and cloud resources. * Participate in rotational support or on-call activities as required. * Contribute to operational readiness reviews, incident management, and continuous improvement. Required Skills and Qualifications Education * Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Core Technical Skills * Hands-on experience with cloud-native AI services, model deployment, RAG implementation, and AI platform operations. * Strong programming and scripting skills in Python, PowerShell, and at least one backend language such as C#/.NET, Node.js, or Python FastAPI. * Experience building APIs, microservices, automation workflows, and production-grade integrations. * Experience with SQL and NoSQL databases including Cosmos DB, DynamoDB, and relational databases. * Experience with vector stores, search platforms, knowledge bases, and enterprise data integration. * Strong understanding of DevOps, CI/CD, IaC, containerized deployments, and release automation. * Solid understanding of cloud security, networking, identity, compliance, monitoring, and operational support. AI and Agent Development Skills * Hands-on experience with Azure AI Foundry Agent Service, model deployment, tool/function calling, RAG over Azure AI Search, evaluations, tracing, and content safety. * Hands-on experience or strong working knowledge of AWS Bedrock AgentCore, including Runtime, Gateway, Memory, Identity, observability, Bedrock models, Knowledge Bases, and Guardrails. * Experience with agent frameworks such as LangGraph, Strands Agents SDK, Semantic Kernel, and AutoGen. * Understanding of MCP Model Context Protocol for tool and system integration. * Strong knowledge of agent fundamentals including RAG, tool use, prompt engineering, prompt evaluation, memory/state design, multi-agent patterns, cost optimization, and guardrails. Application Development Skills * Frontend development experience with React and TypeScript. * Experience integrating frontend applications with REST and GraphQL APIs. * Experience implementing secure auth flows using OAuth2, OIDC, and MSAL. * Backend development experience with C#/.NET, Python FastAPI, or Node.js. * Experience designing APIs, building microservices, and implementing robust testing practices. * Experience with messaging services such as Azure Service Bus, AWS SQS, and AWS SNS. DevOps, Version Control and CI/CD Skills * Strong Git proficiency including branching strategies, pull request workflows, code reviews, and merge-conflict resolution. * Experience with GitHub, Azure Repos, or GitLab. * Experience designing CI/CD pipelines using GitHub Actions or Azure DevOps. * Experience with automated build, test, deploy, and release promotion across environments. * Experience with IaC-driven releases using Terraform and/or Bicep. * Experience supporting containerized application deployments. Preferred Certifications * Microsoft Certified: Azure AI Engineer Associate. * Microsoft Certified: Azure Solutions Architect Associate or Expert. * AWS Certified Solutions Architect Associate or Professional. * AWS Certified Machine Learning Specialty or AWS AI/ML-related certification. * Google Professional Cloud Architect. * Google Professional Machine Learning Engineer. * Terraform, Kubernetes, DevOps, or security-related certifications are a plus. Soft Skills * Strong analytical and problem-solving skills. * Ability to troubleshoot complex cloud, AI, application, and integration issues. * Strong communication and collaboration skills. * Ability to work with cross-functional teams across cloud, application, data, security, and operations. * Ability to mentor junior engineers and contribute to team growth. * Proactive mindset with focus on automation, reliability, cost optimization, and continuous improvement. * Ability to document clearly and communicate technical concepts to both technical and non-technical stakeholders. Work Environment * May require rotational shifts or on-call support. * On-site work: 5 days. Job Profile(s): Cloud Software Engineer 3 Relocation level: (TBD) Before Getting Started Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that: * Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence. * If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process. ​​​​ As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.