AI Tools & Enablement Specialist
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Key skills for this role
About the Role
Drive AI tools adoption, implement solutions, support automation, and collaborate with teams to enhance productivity and enable business transformation.
Key Skills for This Role
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
Requirements
- 3 11+ years of experience in AI tools enablement or related field
- Hands on experience with Dataiku, Databricks, or Vertex AI Workbench
- Experience with Claude, ChatGPT Enterprise, or Gemini
- Experience with Microsoft Power Platform or Appian
- Experience integrating AI services using APIs
Full Job Posting
Job Overview
- Seeking an experienced AI Tools & Enablement Specialist with 3 11+ years of experience to drive adoption, enablement, and operationalization of AI tools across business and technology teams.
- Ideal candidate has hands on experience with enterprise AI platforms, productivity AI tools, low code automation platforms, data science environments, and API based AI integrations.
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.
- Generative AI & AI Assistants: Experience with Claude or ChatGPT Enterprise or Gemini for enterprise AI enablement and productivity use cases.
- Low Code & Automation Platforms: Experience with Microsoft Power Platform or Appian for workflow automation, application development, and business process enablement.
- AI Integration & APIs: Experience integrating AI services using APIs; understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.
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