Demo

Learning Technology & AI Solutions Consultant

Augment Professional Services
Houston, TX Full Time
POSTED ON 4/2/2026
AVAILABLE BEFORE 6/1/2026

Learning Technology & AI Solutions Consultant

Role Summary

The Learning Technology & AI Solutions Consultant serves as an expert and advisor for learning technologies, analytics, and AI-enabled solutions. This role will manage the learning technology ecosystem and drive scalable, data-informed, and innovative learning solutions that improve efficiency, effectiveness, and learner experience.


Roles and Responsibilities

  • Provide strategic oversight for the Learning Experience team on tools and technology, while optimizing the use of learning technologies across the LMS, LXP, LRS, and authoring tools.

  • Evaluate platform performance, adoption, and data quality to drive continuous improvement.

  • Evaluate, select, and manage learning technology vendors and influence platform roadmaps.

  • Translate emerging AI capabilities into practical, ethical, and value-driven learning solutions.

  • Establish guardrails for responsible AI use in learning, including data privacy, bias mitigation, and explainability.

  • Build learning team capability in learning technology fluency, analytics literacy, and AI awareness.

  • Act as a consultative partner to Learning Enablement Managers, Learning Consultants, Sales Enablement, and Leadership Development teams.

  • Recommend the right technology and AI approaches based on business needs, learner context, and solution scope—not trends or tools.

  • Develop standards, documentation, and enablement resources to support effective use of learning technologies across the organization.

  • Ensure risks associated with learning technologies are identified, measured, monitored, and controlled in accordance with risk and compliance policies.

  • Establish and leverage a centralized Learning Record Store (LRS) to support enterprise-wide and contingent workforce learning tracking, reducing manual effort and eliminating fragmented tracking across multiple systems.

  • Drive scalable, reliable learning platforms with strong adoption and data integrity.

  • Reduce manual effort and enable faster delivery through automation and AI enablement.

  • Support successful adoption of innovative learning technologies aligned to enterprise needs.


Required Qualifications

  • Bachelor’s degree or equivalent experience in learning technology, instructional design, information systems, or a related field.

  • Demonstrated experience leading enterprise learning platforms and learning technology strategy.

  • Strong knowledge of LMS/LXP ecosystems, SCORM, xAPI, and learning analytics.

  • Experience evaluating and implementing learning technologies, including AI-enabled tools.

  • Ability to translate learning and business needs into scalable, technology-enabled solutions.

  • Deep knowledge of enterprise learning technologies, including LMS, LXP, LRS, authoring tools, learning standards (SCORM, xAPI), and emerging AI-enabled learning solutions.

  • Fluency across learning platforms and tools such as Workday or Cornerstone, Degreed or EdCast, NovoEd, Articulate or Rise, and collaboration tools like Microsoft Teams and EasyRetro.

  • Fluency in Spanish ideal but not required.

  • Experience leading learning technology implementations, platform optimization, and vendor management.

  • Strong expertise in curating, organizing, and governing digital learning content, including taxonomy design, metadata management, tagging standards, and content lifecycle practices.

  • Practical experience applying AI to learning use cases such as content generation, learning recommendations, search optimization, analytics, and workflow automation.

  • Solid understanding of adult learning principles and instructional design best practices.

  • Proven ability to partner with and influence cross-functional teams and business leaders using a consultative approach.

  • Experience deploying scalable learning solutions to diverse audiences, including deskless and frontline workers, supported by data and analytics.

Salary : $62

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