AI Tools & Enablement Specialist
3+ years experience in AI enablement with hands-on use of enterprise AI platforms, generative AI tools, low-code automation, API integrations, strong communication and training skills, and a relevant bachelor's degree.
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