# 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