Learning AI Architect Consultant

Harbinger Systems · Pune

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Last observed by our collector: 8 October 2026 at 11:28 pm IST. This is not a manual review or a confirmation from the employer.

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Collected role description

Learning AI Architect Consultant - Role and ResponsibilitiesDesign AI-powered digital learning solutions for enterprise customers including personalized learning systems, AI learning assistants, adaptive learning platforms, skills intelligence systems, and learning recommendation enginesArchitect AI-enabled learning ecosystems integrating LMS/LXP, knowledge systems, workflow systems, and enterprise platformsEnable customers to improve workforce capability development, learning effectiveness, workforce readiness, and continuous learning outcomes using AI-native approachesGuide delivery teams in implementing scalable AI learning architectures, learning analytics, and AI-enabled learner experiencesCollaborate with customer stakeholders to define AI-driven learning transformation roadmaps aligned with business capability goalsContribute reusable AI learning frameworks, accelerators, and reference architectures for Harbinger’s Digital Learning domain Skills and CompetenciesMinimum 3 years of relevant working experience in designing and solutioning HR Tech applications in Workforce Enablement domainGood 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 systemsExperience 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 communicationGood to have: Contribution in Domain IP Development – AI learning accelerators, learning intelligence frameworks, adaptive learning reference architectures

Collected experience requirement

10 - 12 Years