Job Title : Director Learning Architect / Knowledge Management
Location : Hyderabad, Bangalore
Experience : 15+ Years
Department : Learning & Development / Talent Transformation
Reports To : AVP-Global Talent Management leader- Digital Engineering services
Job Summary :
We are seeking a seasoned Learning Architect with 15+ years of experience to lead the design, development, and execution of enterprise-wide learning strategies. This role demands a visionary leader who can build and scale Technology and Domain Academies , drive end-to-end program management , and ensure measurable impact through training effectiveness and ROI analysis .
Roles & Responsibilities – AI Expert in Learning & Development
1. AI Strategy Execution
- Operationalize the AI roadmap defined by the Talent Management Strategy Leader.
- Collaborate with HR, L&D, and IT teams to embed AI into talent development initiatives.
- Ensure seamless integration of AI tools into existing learning platforms and workflows.
2. AI Capabilities Training & Curation
Design and deliver AI capability-building programs for employees, leaders, and HR professionals.Curate learning paths on topics such as :Machine Learning & Deep LearningGenerative AI (e.g., ChatGPT, DALLE)Natural Language Processing (NLP)Responsible and Ethical AICustomize training for different proficiency levels : foundational, intermediate, and advanced.3. Tools Used for AI Learning
Learning Platforms :Coursera, edX, Udacity, DataCamp, LearningAI Tools & Frameworks :TensorFlow, PyTorch, Scikit-learn, Hugging FaceInteractive Learning :Jupyter Notebooks, Google ColabInternal Platforms :LMS / LXP systems (e.g., Degreed, EdCast, Cornerstone)SeekOut for talent intelligence and skill mappingAssessment & Simulation Tools :SHL, Codility, HackerRank (for AI skill validation)4. Continuous Learning & Technology Scouting
Stay updated on emerging AI trends, tools, and applications through :Industry journals, conferences, webinarsAI research papers and GitHub repositoriesCollaboration with academic and tech communitiesMaintain a curated repository of AI innovations relevant to talent development.5. KPIs for AI Training Programs
Adoption Metrics :% of employees enrolled in AI learning programsCompletion rates of AI coursesCapability Metrics :Pre- and post-training assessment scoresNumber of employees certified in AI-related skillsImpact Metrics :Improvement in productivity or decision-making due to AI literacyReduction in time-to-skill for AI-related rolesEngagement Metrics :Learner satisfaction scores (CSAT / NPS)Repeat participation in advanced AI modulesStrategic Alignment :Alignment of AI training outcomes with business goalsContribution to digital transformation initiativesRequired Qualifications :
15+ years of progressive experience in Learning & Development, with at least 5 years in a strategic or architectural role.Strong SME from AI Technology, who can built and scale technology domain academies.Proven track record of building and scaling academies or capability development frameworks.Strong program management skills with experience handling large-scale, cross-functional initiatives.Expertise in learning analytics, ROI measurement, and performance consulting.Familiarity with digital learning tools, platforms, and emerging L&D technologies.Excellent communication, stakeholder management, and leadership skills.Preferred Qualifications :
Certifications in Instructional Design, Program Management and Learning Analytics)Experience in a global or matrixed organization.Exposure to Agile learning methodologies and change management practices.Good to have - AI based technologies certifications