Platform Architect - Integrated Learning

Job description:

This 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.

By 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.

The 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.

Microsoft’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.

Responsibilities:

• 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.

Qualifications:

• Master's degree or equivalent and 10+ years of experience in learning and development, relevant technical roles, business development, quota management, human resources, customer success, collection management, research/restoration evaluation, industry, program/project management, or corporate education; or Bachelor's degree or equivalent and 12+ years of experience in learning and development, relevant technical roles, business development, field or sales, human resources, customer success, collection management, research/restoration evaluation, industry, program/project management, or 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.
• Hands-on experience designing and delivering secure, scalable cloud solutions in Microsoft Azure, including identity, access management, monitoring, and application integration.
• 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.
• Experience implementing document extraction, classification, and validation workflows using Azure AI Document Intelligence.
• Experience integrating speech-to-text and text-to-speech into applications or automated workflows using Azure AI Speech.
• Experience developing, deploying, securing, and monitoring web applications and APIs using Azure App Service/Web Apps.
• Experience with NoSQL data modeling, partitioning, querying, and secure application persistence using Azure Cosmos DB.
• Experience with data integration, engineering, and analytics using Microsoft Fabric pipelines, lakehouses, and Power BI.
• Proficiency in developing APIs, AI integrations, data-processing components, and automation using Python and C#/.NET.
• Experience implementing build, test, and deployment pipelines using Azure DevOps.
• 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.

Additional Preferred Qualifications:

• Bachelor's 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.