Platform Architect - Integrated Learning
Microsoft · Posted Nov 2
Software, cloud computing, artificial intelligence, and hardware services
India, Uttar Pradesh, NoidaFull-timeOnsiteLead/Staff10+ years₹45.0L–₹75.0L yearly47 applicants
SoftwareCloud ComputingArtificial IntelligenceConsumer ElectronicsInformation TechnologyPublic Company
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About the role
MCAPS-Core unites product, engineering, marketing, sales, customer success, and partners around a common customer mission to accelerate customer outcomes, and its Customer & Commercial Success (CCS) organization turns Microsoft's commercial strategy into execution at scale across segments, regions, and roles. This role sits in the learning and development space, shaping next-generation learning through agentic AI, machine learning, data, and automation on the Microsoft cloud stack. The Platform Architect will design and scale personalized, adaptive learning experiences, architecting secure Azure solutions, agentic AI systems, Fabric data pipelines, and CI/CD automation while leading cross-functional programs.
What you will do
- Define 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.
- Lead programs from discovery and architecture through implementation, adoption, and ongoing optimization.
- Manage dependencies, risks, success measures, and cross-functional delivery.
- Implement descriptive, diagnostic, predictive, and prescriptive analytics—including machine learning, and agentic AI to uncover skill gaps, forecast learning needs, and measure program impact.
- Build Microsoft Fabric data pipelines, lakehouses or warehouses, and Power BI reporting to support actionable insights and data-driven decisions.
- Establish data-quality controls and measurement frameworks to evaluate learning effectiveness and organizational capability.
- Design and deploy agentic AI solutions, including autonomous agents, adaptive learning systems, and intelligent tutoring experiences, with appropriate human oversight and operational safeguards.
- Integrate Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot, and Azure Machine Learning to deliver personalized, scalable learning and knowledge experiences.
- Implement retrieval-augmented generation (RAG), grounding, evaluation, and feedback mechanisms to improve AI response quality and relevance.
- Use Azure AI Document Intelligence to extract, classify, and validate information from structured and unstructured documents.
- Integrate Azure AI Speech capabilities, including speech-to-text and text-to-speech, into conversational, learning, and accessibility solutions.
- Develop workflows that convert documents and spoken interactions into searchable knowledge and actionable insights.
- Architect secure, scalable Azure solutions using Azure App Service/Web Apps, Azure Functions, Azure Cosmos DB, and supporting cloud services.
- Develop applications, APIs, AI integrations, and data-processing components using Python and C#/.NET.
- Design data models, partitioning strategies, and secure access patterns for Azure Cosmos DB.
- Apply managed identities, role-based access control, secrets management, and monitoring across application environments.
- Establish and maintain CI/CD pipelines using Azure DevOps, incorporating automated testing, security checks, and controlled deployments.
- Implement repeatable infrastructure and environment provisioning using infrastructure as code.
- Automate business and technical workflows using Power Automate, Azure Logic Apps, Azure Functions, and scripting.
- Improve delivery efficiency and operational reliability through reusable components and automated processes.
- Use real-time feedback, telemetry, and analytics to iterate on program and solution design.
- Monitor solution performance, reliability, adoption, and cost, ensuring sustained value in a fast-changing environment.
- Translate technical insights into clear recommendations for non-technical audiences.
- Collaborate with business leaders, subject-matter experts, engineering teams, and learning professionals.
- Foster a culture of data-driven decision-making and shared accountability for outcomes.
- Champion fairness, transparency, privacy, security, and accessibility in AI-enabled learning and knowledge systems.
- Establish appropriate evaluation, human oversight, and governance for agentic AI solutions.
Skills used in this role
What the employer is looking for
- Master'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.
- Demonstrated experience in technical program/project management, learning and development, knowledge management, customer success, or a related technical role.
- Experience leading cross-functional initiatives and translating business requirements into technical solutions and measurable outcomes.
- Microsoft Azure: Hands-on experience designing and delivering secure, scalable cloud solutions, including identity, access management, monitoring, and application integration.
- Azure 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.
- Azure AI Document Intelligence: Experience implementing document extraction, classification, and validation workflows.
- Azure AI Speech: Experience integrating speech-to-text and text-to-speech into applications or automated workflows.
- Azure App Service/Web Apps: Experience developing, deploying, securing, and monitoring web applications and APIs.
- Azure Cosmos DB: Experience with NoSQL data modeling, partitioning, querying, and secure application persistence.
- Microsoft Fabric: Experience with data integration, engineering, and analytics using pipelines, lakehouses, and Power BI.
- Python and C#/.NET: Proficiency in developing APIs, AI integrations, data-processing components, and automation.
- CI/CD: Experience implementing build, test, and deployment pipelines using Azure DevOps.
- Automation: Experience automating workflows using Power Automate, Azure Logic Apps, Azure Functions, and scripting.
- Working knowledge of source control, automated testing, API integration, cloud security, and operational troubleshooting.
- Strong analytical, problem-solving, stakeholder-management, and communication skills.
- Ability to explain technical concepts to non-technical audiences and influence decisions across organizational boundaries.
- Ability to balance strategic program leadership with hands-on technical execution.
Preferred qualifications
- Bachelor or Master’s degree or equivalent advanced experience in a relevant discipline.
- Significant experience delivering enterprise-scale AI, learning, knowledge-management, or digital-transformation programs.
- Experience with Azure Machine Learning, model deployment, and MLOps practices.
- Experience implementing AI evaluation, prompt/version management, monitoring, and governance practices.
- Experience provisioning cloud infrastructure using Bicep, Terraform, or Azure Resource Manager templates.
- Familiarity with enterprise data governance, privacy, accessibility, and security requirements.
- Relevant Microsoft certifications in Azure, AI, data, Fabric, or DevOps.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
SN
Satya Nadella
Chairman and Chief Executive Officer
AH
Amy Hood
Chief Financial Officer
BS
Brad Smith
Vice Chair and President
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