{"id":3651662,"url":"https://alion.io/job/microsoft-platform-architect-integrated-learning","title":"Platform Architect -Integrated Learning","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":84,"open_postings":424,"ghost_share":0.005,"stale_share":0.599,"repost_share":0.033,"time_to_fill_p50_days":29,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India","Bengaluru, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"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":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Bicep","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-28T22:15:59Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-06T06:24:37Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"OverviewMCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.\nThe Customer & Commercial Success (CCS) organization, an organization within MCAPS-Core, is the connected engine that turns Microsoft’s commercial strategy into execution at scale - making it simpler and faster for the field to win for every customer, in every segment, region, and role. The organization brings together planning, landing, execution excellence, services portfolio and delivery, and field activation across ATU, STU, and CSU to accelerate customer value, drive growth, and strengthen the end-to-end experience across every customer moment.\nThis position is pivotal in shaping the next generation of learning through agentic experiences that make skilling more personalized, adaptive, and embedded in the flow of work.\nBy combining agentic AI, machine learning, data, and automation, you will design and scale intelligent learning experiences that accelerate skill development, improve learner and customer outcomes, and strengthen organizational capability.\nThe role goes beyond applying AI to existing learning processes. It will help reimagine how people discover, build, apply, and sustain skills, creating agentic experiences that understand context, orchestrate learning resources and actions, and continuously adapt to learner needs and business priorities.\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\nResponsibilities\nStrategic Program Management\nDefine and drive the AI, agentic systems, machine learning, data, and automation transformation strategy for L&D, aligning initiatives with business priorities and evolving customer needs.\nLead programs from discovery and architecture through implementation, adoption, and ongoing optimization.\nManage dependencies, risks, success measures, and cross-functional delivery.\nAdvanced Analytics & Machine Learning\nImplement descriptive, diagnostic, predictive, and prescriptive analytics-including machine learning, and agentic AI to uncover skill gaps, forecast learning needs, and measure program impact.\nBuild Microsoft Fabric data pipelines, lakehouses or warehouses, and Power BI reporting to support actionable insights and data-driven decisions.\nEstablish data-quality controls and measurement frameworks to evaluate learning effectiveness and organizational capability.\nAgentic AI & Personalized Learning\nDesign and deploy agentic AI solutions, including autonomous agents, adaptive learning systems, and intelligent tutoring experiences, with appropriate human oversight and operational safeguards.\nIntegrate Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot, and Azure Machine Learning to deliver personalized, scalable learning and knowledge experiences.\nImplement retrieval-augmented generation (RAG), grounding, evaluation, and feedback mechanisms to improve AI response quality and relevance.\nDocument & Speech Intelligence\nUse Azure AI Document Intelligence to extract, classify, and validate information from structured and unstructured documents.\nIntegrate Azure AI Speech capabilities, including speech-to-text and text-to-speech, into conversational, learning, and accessibility solutions.\nDevelop workflows that convert documents and spoken interactions into searchable knowledge and actionable insights.\nCloud Architecture & Application Development\nArchitect secure, scalable Azure solutions using Azure App Service/Web Apps, Azure Functions, Azure Cosmos DB, and supporting cloud services.\nDevelop applications, APIs, AI integrations, and data-processing components using Python and C#/.NET.\nDesign data models, partitioning strategies, and secure access patterns for Azure Cosmos DB.\nApply managed identities, role-based access control, secrets management, and monitoring across application environments.\nCI/CD & Automation\nEstablish and maintain CI/CD pipelines using Azure DevOps, incorporating automated testing, security checks, and controlled deployments.\nImplement repeatable infrastructure and environment provisioning using infrastructure as code.\nAutomate business and technical workflows using Power Automate, Azure Logic Apps, Azure Functions, and scripting.\nImprove delivery efficiency and operational reliability through reusable components and automated processes.\nContinuous Improvement\nUse real-time feedback, telemetry, and analytics to iterate on program and solution design.\nMonitor solution performance, reliability, adoption, and cost, ensuring sustained value in a fast-changing environment.\nStakeholder Engagement\nTranslate technical insights into clear recommendations for non-technical audiences.\nCollaborate with business leaders, subject-matter experts, engineering teams, and learning professionals.\nFoster a culture of data-driven decision-making and shared accountability for outcomes.\nResponsible AI & Change Management\nChampion fairness, transparency, privacy, security, and accessibility in AI-enabled learning and knowledge systems.\nEstablish appropriate evaluation, human oversight, and governance for agentic AI solutions.\nQualifications\nRequired/Minimum Qualifications:\nMaster's Degree or equivalent 10+ year(s) experience in learning and development, relevant technical roles, business development, quota management, human resources (HR), customer success, collection management, research/restoration evaluation, industry, program/project management, or corporate education OR Bachelor's degree or equivalent AND 12+ years experience in learning and development, relevant technical roles, business development, field or sales, HR, customer success, collection management, research/restoration evaluation, industry, or program/project management, corporate education OR equivalent experience.\nAdditional Required Qualifications:\nDemonstrated experience in technical program/project management, learning and development, knowledge management, customer success, or a related technical role.\nExperience leading cross-functional initiatives and translating business requirements into technical solutions and measurable outcomes.\nTechnical expertise\nMicrosoft Azure: Hands-on experience designing and delivering secure, scalable cloud solutions, including identity, access management, monitoring, and application integration.\nAzure AI: Experience building AI-powered applications using Azure AI services, including Azure OpenAI and Azure AI Foundry, with an understanding of agentic workflows, RAG, evaluation, and responsible AI.\nAzure AI Document Intelligence: Experience implementing document extraction, classification, and validation workflows.\nAzure AI Speech: Experience integrating speech-to-text and text-to-speech into applications or automated workflows.\nAzure App Service/Web Apps: Experience developing, deploying, securing, and monitoring web applications and APIs.\nAzure Cosmos DB: Experience with NoSQL data modeling, partitioning, querying, and secure application persistence.\nMicrosoft Fabric: Experience with data integration, engineering, and analytics using pipelines, lakehouses, and Power BI.\nPython and C#/.NET: Proficiency in developing APIs, AI integrations, data-processing components, and automation.\nCI/CD: Experience implementing build, test, and deployment pipelines using Azure DevOps.\nAutomation: Experience automating workflows using Power Automate, Azure Logic Apps, Azure Functions, and scripting.\nWorking knowledge of source control, automated testing, API integration, cloud security, and operational troubleshooting.\nLeadership and communication\nStrong analytical, problem-solving, stakeholder-management, and communication skills.\nAbility to explain technical concepts to non-technical audiences and influence decisions across organizational boundaries.\nAbility to balance strategic program leadership with hands-on technical execution.\nAdditional Preferred Qualifications:\nBachelor or Master’s degree or equivalent advanced experience in a relevant discipline.\nSignificant experience delivering enterprise-scale AI, learning, knowledge-management, or digital-transformation programs.\nExperience with Azure Machine Learning, model deployment, and MLOps practices.\nExperience implementing AI evaluation, prompt/version management, monitoring, and governance practices.\nExperience provisioning cloud infrastructure using Bicep, Terraform, or Azure Resource Manager templates.\nFamiliarity with enterprise data governance, privacy, accessibility, and security requirements.\nRelevant Microsoft certifications in Azure, AI, data, Fabric, or DevOps.\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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