Microsoft is building a next-generation agentic learning ecosystem to personalize skilling in the flow of work, orchestrate Skilling Advisor capabilities, and activate a governed content lake + skill graph across Viva Learning, Microsoft Learn, and LinkedIn Learning.
Requirements
- 3+ years of experience with AI-powered learning agents, LMS/LXP platforms, and data-driven personalization.
- 3+ years of experience architecting AI/agentic or MLdriven platforms at enterprise scale (agent services, retrieval, safety/policy, evaluation) on Azure (e.g., Azure OpenAI/Azure AI Foundry, Semantic Kernel, Azure ML).
- Depth in data & integration architecture (content lakes, metadata/skill taxonomies, eventdriven/microservices, vector search) and learning ecosystem integrations (Viva Learning, Microsoft Learn, LinkedIn Learning).
- Demonstrated expertise in designing and implementing personalized learning and skilling experiences—leveraging skill ontologies, role-based capability models, and AI-driven recommendation engines to deliver adaptive content, assessments, and career pathways for upskilling and reskilling at enterprise scale.
- Proven ability to integrate personalization signals (e.g., role, proficiency, career goals) into learning platforms such as Viva Learning, Microsoft Learn, and LinkedIn Learning while ensuring Responsible AI and privacy compliance.
- Demonstrated ability to apply the ontology to power agentic, inflow skilling experiences (e.g., Skilling Advisor) with Responsible AI and privacy controls.
- 2+ years designing and operationalizing an enterprise skill ontology/skill graph for learning and talent scenarios
Responsibilities
- design and deliver AI-powered learning experiences
- configuring first-party tools (e.g., Copilot-based learning experiences and roleplay practice)
- instrumenting telemetry
- lead the development of scalable, personalized, and agentic learning experiences
- own the enterprise-wide delivery and governance of AI learning capabilities
- Drive the development and deployment of AI-powered learning capabilities, including agentic systems, nudges, and personalized skilling journeys.
- Design and pilot immersive learning experiences that integrate with business workflows and tools.
Other
- Bachelor's Degree in Human Resources, Business, Computer Science, Information Technology, Engineering,or related field AND 7+ years experience in HR practices or program/project management, technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)OR 10+ years experience in HR practices, technology consultation, or program/project management
- 3+ years experience managing large-scale or complex projects/programs
- Partner with HR and Learning, product/engineering, and Responsible AI to ensure compliant, inclusive, and measurable outcomes aligned to Global Learning and Skilling (GL&S) disruption priorities.
- Partner with Talent Management and business stakeholders to define critical skills and proficiency models.
- Partner with engineering, product, and Responsible AI teams to ensure compliance, privacy, and governance standards are met.
