AI Tools & Enablement Specialist

Job Description: AI Tools & Enablement SpecialistJob Title: AI Tools & Enablement SpecialistExperience: 3–11+ YearsLocation: Riyadh - OnsiteEmployment Type: Full-TimeJob OverviewWe 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 ResponsibilitiesEnable enterprise adoption of AI tools and platforms across business functionsEvaluate, configure, and implement AI solutions aligned with organizational needsSupport AI experimentation, prototyping, and rapid solution developmentDevelop AI-enabled workflows, automation solutions, and productivity enhancementsCreate enablement materials, best practices, and usage guidelines for AI platformsCollaborate with business stakeholders, data teams, and engineering teams to identify AI opportunitiesConfigure and support enterprise AI assistants, AI copilots, and generative AI solutionsIntegrate AI capabilities with enterprise applications using APIs and automation frameworksSupport governance, security, and responsible AI adoption practicesMonitor AI tool usage, adoption metrics, and business impactProvide training and guidance to users on effective AI utilizationRequired Technical SkillsAI & Data Science PlatformsHands-on experience with Dataiku or Databricks or Vertex AI Workbench for AI experimentation, analytics, and machine learning workflowsExperience supporting AI/ML development environments and collaborative data science platformsGenerative AI & AI AssistantsExperience with Claude or ChatGPT Enterprise or Gemini for enterprise AI enablement and productivity use casesUnderstanding of prompt engineering, AI assistants, and Generative AI adoption practicesExperience evaluating AI capabilities for business workflowsLow-Code & Automation PlatformsExperience with Microsoft Power Platform or Appian for workflow automation, application development, and business process enablementAbility to design AI-powered automation solutions using low-code platformsAI Integration & APIsExperience integrating AI services using APIsUnderstanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applicationsQualificationsBachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field3–11+ years of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consultingStrong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoptionExcellent communication, training, and stakeholder management skillsAbility to translate business requirements into AI-driven solutionsPreferred SkillsExperience implementing enterprise AI adoption programsKnowledge of AI governance, security, and responsible AI practicesExperience working with cloud AI platforms such as AWS, Azure, or Google CloudFamiliarity with automation workflows, process optimization, and digital transformation initiativesExperience creating AI training programs and user enablement contentKey Technology StackAI & Data Platforms: Dataiku or Databricks or Vertex AI WorkbenchGenerative AI Tools: Claude or ChatGPT Enterprise or GeminiAutomation Platforms: Microsoft Power Platform or AppianIntegration: APIs and REST-based AI service integrationsAI Enablement: AI Adoption and User Training and AI Workflow OptimizationEnterprise AI Practices: Responsible AI and Governance and Business Process Transformation