{"id":169922,"url":"https://alion.io/job/micron-technology-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":37,"name":"Micron Technology","domain":"micron.com","url":"https://alion.io/company/micron-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":963,"ghost_share":0.001,"stale_share":0.859,"repost_share":0.001,"time_to_fill_p50_days":31,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Gitflow","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"Incident Management","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"PowerShell","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"State Management","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"Trunk-Based Development","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-08-06T00:00:00Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-17T01:11:29Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Our vision is to transform how the world uses information to enrich life for all.\nMicron 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.\nJob Summary:\nWe areseekinga technically proficient and proactiveSenior AI Engineer to support, develop, and enhance cloud-based AI solutions, AI Agents, and custom applications acrossMicrosoft Azure, Amazon Web Services AWS, and Google Cloud Platform GCP. This role willbe responsible fordesigning, developing, deploying, and supporting enterprise-grade AI applications, agentic solutions, RAG-based systems, automation workflows, and cloud-native integrations.\nThe ideal candidate should have strong hands-on experience inAI 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 technicalexpertise, strong troubleshooting skills, and the ability to collaborate with cloud, application, data, security, and platform teams to deliver scalable, secure, and reliable AI capabilities.\nKey Responsibilities:\n1. AI Agent Development and Engineering\nDesign, develop, and deploy AI Agents using cloud-native and open-source agent frameworks.\n\nBuild agentic workflows usingAzure AI Foundry Agent Service,AWS BedrockAgentCore,LangGraph,Strands Agents SDK,Semantic Kernel, andAutoGen.\n\nImplementtool/function calling, memory, state management, checkpointing, multi-agent orchestration, and agent-to-agent workflows.\n\nIntegrate enterprise tools, APIs, databases, knowledge bases, and automation systems usingMCP Model Context Protocol and custom connectors.\n\nDesign and implementRAG Retrieval-Augmented Generation solutions using vector stores, knowledge bases, and search services.\n\nDevelop guardrails, prompt evaluation, content safety controls, tracing, and observability for AI Agent solutions.\n\nOptimizeAI Agent performance, cost, latency, reliability, and user experience.\n\n2. Custom Application Development\nDevelop scalable web applications and internal tools to enable AI, automation, and cloud service capabilities.\n\nBuild frontend applications usingReact,TypeScript, REST API integration,GraphQLintegration, and secure authentication flows.\n\nImplement authentication and authorization usingOAuth2,OIDC, andMSAL.\n\nDevelop backend services usingC#/.NET,PythonFastAPI, orNode.js.\n\nDesign and build microservices, APIs, event-driven services, and cloud-native integrations.\n\nWork with relational and NoSQL databases includingSQL,Cosmos DB, andDynamoDB.\n\nIntegrate messaging and event-driven platforms such asAzure Service Bus,AWS SQS, andAWS SNS.\n\nImplement backend testing, API testing, unit testing, integration testing, and code quality practices.\n\nEnsure application solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards.\n\n3. Cloud AI Services Support\nDeploy, manage, and support AI/ML workloads across Azure, AWS, and GCP.\n\nSupportAzure AI Foundry,Azure OpenAI,Azure AI Search, model deployments, evaluation, tracing, tool/function calling, and content safety controls.\n\nSupportAWS Bedrock,Bedrock Studio,Amazon Q Business,Bedrock Knowledge Bases,Guardrails, andBedrockAgentCore.\n\nSupportGCP Vertex AI,Vertex AI Search, andGemini Models.\n\nEnsure secure and compliant deployment of AI services, APIs, agents, and applications.\n\n4. Cloud Operations and Optimization\nResolve complex cloud infrastructure and AI platform issues across Azure, AWS, and GCP.\n\nPerform root cause analysis for incidents related to AI services, agents, applications, APIs, integrations, and cloud platforms.\n\nManage andoptimizecloud resources includingcompute, storage, networking, databases, containers, and AI services.\n\nImplement andmonitorbackup, disaster recovery, high availability, resiliency, and operational readiness.\n\nIdentifyautomation opportunities to reduce manual effort and improve operational efficiency.\n\nOptimizecloud and AI workloads for cost, performance, security, and reliability.\n\n5. Automation,DevOpsand CI/CD\nDevelop automation usingPowerShell,Python,Terraform, and cloud-native tools.\n\nImplement Infrastructure as Code usingTerraform andBicep.\n\nDesign and maintain CI/CD pipelines usingGitHub Actions andAzure DevOps.\n\nAutomate build, test, security scan, deployment, and environment promotion workflows.\n\nSupport containerized deployments and cloud-native release patterns.\n\nIntegrate automated validation, testing, approval gates, and release controls.\n\nImprove deployment reliability for AI Agents, APIs, applications, infrastructure, and cloud services.\n\n6. Version Control and Engineering Practices\nUseGit effectively for source control, branching, merging, pull requests, and code reviews.\n\nFollow branching strategies such astrunk-based development orGitFlow.\n\nManage code repositories inGitHub,Azure Repos, orGitLab.\n\nResolve merge conflicts andmaintainclean,reviewablecodehistory.\n\nParticipate in PR reviews, enforce coding standards, and promote secure development practices.\n\nMaintain reusable templates, libraries, automation scripts, and shared engineering assets.\n\n7. Observability, Reliability and Support\nImplement monitoring, logging, tracing, andalerting forAI Agents, applications, APIs, and cloud services.\n\nSupport observability for AI platforms including agent traces, tool calls, model interactions, latency, failure rates, and usage trends.\n\nTroubleshoot production issues involving AI workflows, integrations, authentication, service connectivity, and cloud resources.\n\nParticipate in rotational support oron-callactivities asrequired.\n\nContribute to operational readiness reviews, incident management, and continuous improvement.\n\nRequired Skills and Qualifications\nEducation\nBachelor’s degree in Computer Science, Information Technology, Engineering, ora relatedfield.\n\nCore Technical Skills\nHands-on experience with cloud-native AI services, model deployment, RAG implementation, and AI platform operations.\n\nStrong programming and scripting skills inPython,PowerShell, and at least one backend language such asC#/.NET,Node.js, orPythonFastAPI.\n\nExperience building APIs, microservices, automation workflows, and production-grade integrations.\n\nExperience with SQL and NoSQL databases includingCosmos DB,DynamoDB, and relational databases.\n\nExperience with vector stores, search platforms, knowledge bases, and enterprise data integration.\n\nStrong understanding of DevOps, CI/CD,IaC, containerized deployments, and release automation.\n\nSolid understanding of cloud security, networking, identity, compliance, monitoring, and operational support.\n\nAI and Agent Development Skills\nHands-on experience withAzure AI Foundry Agent Service, model deployment, tool/function calling, RAG over Azure AI Search, evaluations, tracing, and content safety.\n\nHands-on experience or strong working knowledge ofAWS BedrockAgentCore, including Runtime, Gateway, Memory, Identity, observability, Bedrock models, Knowledge Bases, and Guardrails.\n\nExperience with agent frameworks such asLangGraph,Strands Agents SDK,Semantic Kernel, andAutoGen.\n\nUnderstanding ofMCP Model Context Protocol for tool and system integration.\n\nStrong knowledge of agent fundamentals including RAG, tool use, prompt engineering, prompt evaluation, memory/state design, multi-agent patterns, cost optimization, and guardrails.\n\nApplication Development Skills\nFrontend development experience withReact andTypeScript.\n\nExperience integrating frontend applications with REST andGraphQLAPIs.\n\nExperience implementing secure auth flows usingOAuth2,OIDC, andMSAL.\n\nBackend development experience withC#/.NET,PythonFastAPI, orNode.js.\n\nExperience designing APIs, building microservices, and implementing robust testing practices.\n\nExperience with messaging services such asAzure Service Bus,AWS SQS, andAWS SNS.\n\nDevOps, Version Control and CI/CD Skills\nStrong Gitproficiencyincluding branching strategies, pull request workflows, code reviews, and merge-conflict resolution.\n\nExperience withGitHub,Azure Repos, orGitLab.\n\nExperience designing CI/CD pipelines usingGitHub Actions orAzure DevOps.\n\nExperience with automated build, test, deploy, and release promotion across environments.\n\nExperience withIaC-driven releases usingTerraform and/orBicep.\n\nExperience supporting containerized application deployments.\n\nPreferred Certifications\nMicrosoft Certified: Azure AI Engineer Associate.\n\nMicrosoft Certified: Azure Solutions Architect Associate or Expert.\n\nAWS Certified Solutions Architect Associate or Professional.\n\nAWS Certified Machine Learning Specialty or AWS AI/ML-related certification.\n\nGoogle Professional Cloud Architect.\n\nGoogle Professional Machine Learning Engineer.\n\nTerraform, Kubernetes, DevOps, or security-related certifications are a plus.\n\nSoft Skills\nStrong analytical and problem-solving skills.\n\nAbility to troubleshoot complex cloud, AI, application, and integration issues.\n\nStrong communicationand collaboration skills.\n\nAbility to work with cross-functional teams across cloud, application, data, security, and operations.\n\nAbility to mentor junior engineers and contribute to team growth.\n\nProactive mindset withfocuson automation, reliability, cost optimization, and continuous improvement.\n\nAbility to document clearly and communicate technical concepts to both technical and non-technical stakeholders.\n\nWork Environment\nMay require rotational shifts oron-callsupport.\n\nOn-site work: 5 days.\n\nAbout Micron Technology, Inc.\nWe are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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.\nTo learn more, please visit micron.com/careers\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\nTo request assistance with the application process and/or for reasonable accommodations,please \nMicron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.\nMicron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.\nAI 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.\nFraud 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.","description_format":"text","description_chars":11542,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Semiconductor Manufacturing","Memory & Storage Chips"],"lifecycle":[{"event":"open","at":"2026-08-29T22:28:59Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.45,"p_room":0.28,"age_days":72,"expected_fill_days":31,"reasons":["conf:4","stale_co","urgency","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/micron-technology-senior-ai-engineer","json_url":"https://alion.io/job/micron-technology-senior-ai-engineer.json","meta":{"generated_at":"2026-10-17T19:36:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2967,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":37},"rest":"https://alion.io/mcp/rest/get_company?id=37"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmicron-technology-senior-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmicron-technology-senior-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmicron-technology-senior-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/micron-technology-senior-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmicron-technology-senior-ai-engineer"}]}