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:

Learning Architect

Roles & Responsibilities AI Expert in Learning & Development

1.

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.

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, DALLE)

- Natural Language Processing (NLP)

- Responsible and Ethical AI

Customize training for different proficiency levels: foundational, intermediate, and advanced.

3.

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