AI Tools & Enablement Specialist
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Key skills for this role
About the Role
Datamatics Technologies is seeking an AI Tools & Enablement Specialist with 3-11+ years of experience to drive AI tool adoption across business and technology teams. The role involves evaluating, configuring, and implementing AI solutions, creating enablement materials, and providing training.
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
- Bachelor's degree in Computer Science, AI, IT, Software Engineering, or related field
- 3 11+ years of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting
- Hands on experience with Dataiku, Databricks, or Vertex AI Workbench
- Experience with generative AI tools like Claude, ChatGPT Enterprise, or Gemini
- Experience with Microsoft Power Platform or Appian for workflow automation
- Experience integrating AI services using APIs and REST
- Strong communication, training, and stakeholder management skills
Full Job Posting
Job Overview
- 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.
- 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
- Hands on experience with Dataiku or Databricks or Vertex AI Workbench for AI experimentation, analytics, and machine learning workflows
- 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 with Microsoft Power Platform or Appian for workflow automation and business process enablement
- Experience integrating AI services using APIs, REST APIs, authentication methods
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, User Training, AI Workflow Optimization
- Enterprise AI Practices: Responsible AI, Governance, Business Process Transformation
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