DT
Datamatics Technologies
No-Code / Low-Code AIAI AutomationInternal AI Tools

AI Tools & Enablement Specialist

Riyadh, Saudi ArabiaOn-sitefull-time
DataikuDatabricksVertex AI WorkbenchClaudeChatGPT EnterpriseGeminiMicrosoft Power PlatformAppianAPIsAWSAzureGoogle Cloud
Role Snapshot

3+ years enabling enterprise AI tools, integrating APIs, building low-code automations, supporting data science platforms, and delivering user training for AI adoption.


Job Description: AI Tools & Enablement Specialist

Job Title:AI Tools & Enablement Specialist
Experience:3–11+ Years
Location:Riyadh - Onsite
Employment Type:Full-Time

Job Overview

We are seeking an experienced AI Tools & Enablement Specialistwith 3–11+ years of experienceto drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives.

Key Responsibilities

  • Enable enterprise adoption of AI tools and platforms across business functions.
  • Evaluate, configure, and implement AI solutions aligned with organizational needs.
  • Support AI experimentation, prototyping, and rapid solution development.
  • Develop AI-enabled workflows, automation solutions, and productivity enhancements.
  • Create enablement materials, best practices, and usage guidelines for AI platforms.
  • Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities.
  • Configure and support enterprise AI assistants, AI copilots, and generative AI solutions.
  • Integrate AI capabilities with enterprise applications using APIs and automation frameworks.
  • Support governance, security, and responsible AI adoption practices.
  • Monitor AI tool usage, adoption metrics, and business impact.
  • Provide training and guidance to users on effective AI utilization.

Required Technical Skills

AI & Data Science Platforms

  • Hands-on experience with Dataiku or Databricks or Vertex AI Workbenchfor AI experimentation, analytics, and machine learning workflows.
  • Experience supporting AI/ML development environments and collaborative data science platforms.

Generative AI & AI Assistants

  • Experience with Claude or ChatGPT Enterprise or Geminifor enterprise AI enablement and productivity use cases.
  • Understanding of prompt engineering, AI assistants, and Generative AI adoption practices.
  • Experience evaluating AI capabilities for business workflows.

Low-Code & Automation Platforms

  • Experience with Microsoft Power Platform or Appianfor workflow automation, application development, and business process enablement.
  • Ability to design AI-powered automation solutions using low-code platforms.

AI Integration & APIs

  • Experience integrating AI services using APIs.
  • Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.

Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.
  • 3–11+ yearsof experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting.
  • Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption.
  • Excellent communication, training, and stakeholder management skills.
  • Ability to translate business requirements into AI-driven solutions.

Preferred Skills

  • Experience implementing enterprise AI adoption programs.
  • Knowledge of AI governance, security, and responsible AI practices.
  • Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with automation workflows, process optimization, and digital transformation initiatives.
  • Experience creating AI training programs and user enablement content.

Key Technology Stack

  • AI & Data Platforms:Dataiku or Databricks or Vertex AI Workbench
  • Generative AI Tools:Claude or ChatGPT Enterprise or Gemini
  • Automation Platforms:Microsoft Power Platform or Appian
  • Integration:APIs andREST-based AI service integrations
  • AI Enablement:AI Adoption andUser Training andAI Workflow Optimization
  • Enterprise AI Practices:Responsible AI andGovernance andBusiness Process Transformation
Posted 14 July 2026Apply now