Consultant/ Freelancer - Learning AI Architect

Role & responsibilities

Role and Responsibilities

Design AI-powered digital learning solutions for enterprise customers including personalized learning systems, AI learning assistants, adaptive learning platforms, skills intelligence systems, and learning recommendation engines

Architect AI-enabled learning ecosystems integrating LMS/LXP, knowledge systems, workflow systems, and enterprise platforms

Enable customers to improve workforce capability development, learning effectiveness, workforce readiness, and continuous learning outcomes using AI-native approaches

Guide delivery teams in implementing scalable AI learning architectures, learning analytics, and AI-enabled learner experiences

Collaborate with customer stakeholders to define AI-driven learning transformation roadmaps aligned with business capability goals

Contribute reusable AI learning frameworks, accelerators, and reference architectures for Harbingers Digital Learning domain

Skills and Competencies

Minimum 3 years of relevant working experience in designing and solutioning HR Tech applications in Workforce Enablement domain

Good knowledge and experience of Digital Learning Foundations (Enterprise learning ecosystems, capability development models, skills-based organizations, learning transformation concepts), Learning Platforms & Ecosystems (LMS/LXP systems, learning workflows, learning analytics, learning experience design, skills intelligence systems)

Experience in building AI Learning Systems – Personalized learning engines, GenAI for learning, adaptive learning systems, AI tutors, conversational learning assistants, recommendation systems

Experience in using AI for designing Enterprise Architecture (AI architecture patterns, enterprise integrations, data pipelines, AI governance basics, scalable AI systems)

Consulting & Transformation experience – Learning transformation consulting, capability roadmap design, workforce readiness strategy, executive communication

Good to have: Contribution in Domain IP Development – AI learning accelerators, learning intelligence frameworks, adaptive learning reference architectures