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