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