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Director AI architect, Knowledge Management

Director AI architect, Knowledge Management

SutherlandAnand, IN
2 days ago
Job description

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, 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
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