Director Ai Architect, Knowledge Management

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 Learning - Generative AI (e.G., ChatGPT, DALL·E) - Natural Language Processing (NLP) - Responsible and Ethical AI - Customize training for different proficiency levels: foundational, intermediate, and advanced. 3. Tools Used for AI Learning - Learning Platforms: - Coursera, edX, Udacity, DataCamp, LinkedIn Learning - AI Tools & Frameworks: - TensorFlow, PyTorch, Scikit-learn, Hugging Face - Interactive Learning: - Jupyter Notebooks, Google Colab - Internal Platforms: - LMS/LXP systems (e.G., Degreed, EdCast, Cornerstone) - SeekOut for talent intelligence and skill mapping - Assessment & 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, webinars - AI research papers and GitHub repositories - Collaboration with academic and tech communities - Maintain a curated repository of AI innovations relevant to talent development. 5. KPIs for AI Training Programs - Adoption Metrics: - % of employees enrolled in AI learning programs - Completion rates of AI courses - Capability Metrics: - Pre- and post-training assessment scores - Number of employees certified in AI-related skills - Impact Metrics: - Improvement in productivity or decision-making due to AI literacy - Reduction in time-to-skill for AI-related roles - Engagement Metrics: - Learner satisfaction scores (CSAT/NPS) - Repeat participation in advanced AI modules - Strategic Alignment: - Alignment of AI training outcomes with business goals - Contribution to digital transformation initiatives Required 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