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AI Tools & Enablement Specialist

Job in Khobar, Eastern Province, Saudi Arabia
Listing for: Datamatics Technologies
Full Time, Seasonal/Temporary position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, AI Evaluation
Salary/Wage Range or Industry Benchmark: 120000 - 180000 SAR Yearly SAR 120000.00 180000.00 YEAR
Job Description & How to Apply Below

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 Specialist with 3–11+ years of experience to 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 Workbench for 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 Gemini for 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 Appian for 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+ years of 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 and REST-based AI service integrations
  • AI Enablement: AI Adoption and User Training and AI Workflow Optimization
  • Enterprise AI Practices: Responsible AI and Governance and Business Process Transformation
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