Job Description

Roles & Responsibilities

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.

Desired Candidate Profile

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.