The AI Enablement Specialist supports the adoption of artificial intelligence tools across Alimentiv by providing structured training, practical guidance, and implementation support to staff at all levels. This role serves as the primary liaison between technology teams and end users, translating technical capabilities into accessible resources and workflows. Operating at the intersection of technology and people, this role uses accessible AI platforms and no-code tools to prototype and demonstrate solutions — not to develop or maintain production systems. Reporting to the VP, IT Operations, Security & Workplace AI, the Specialist contributes directly to Alimentiv 's AI governance and organizational capability-building objectives.
AI Research (30%)
- Conducts needs assessments across departments to identify opportunities where AI tools can improve operational efficiency or research outcomes.
- Monitors emerging AI technologies and evaluates their relevance to Alimentiv 's operational context.
- Develops roadmaps that align AI opportunities with organizational priorities and realistic implementation timelines.
- Synthesizes industry trends into actionable recommendations tailored to Alimentiv 's business environment.
- Evaluates AI platforms and tools against defined use cases, documenting findings in structured assessments.
- Develops lightweight solution prototypes to validate feasibility before full implementation is pursued.
- Prepares business cases that articulate the value and feasibility of proposed AI initiatives for non-technical stakeholders.
User Enablement (35%)
- Designs and delivers structured training programs that build AI proficiency across diverse teams and skill levels.
- Produces plain-language reference materials, guides, and job aids that support independent tool use.
- Facilitates workshops and demonstrations that connect AI capabilities to team-specific workflows.
- Provides hands-on support during tool rollouts to accelerate user proficiency and resolve adoption barriers.
- Identifies and addresses adoption obstacles through targeted follow-up and adjusted delivery approaches.
- Establishes communities of practice to enable peer learning and sustained engagement with AI tools.
- Monitors usage data and initiates proactive outreach where additional training or support is indicated
Solution Development (25%)
- Designs and builds proof-of-concept AI solutions that demonstrate practical value to specific business functions.
- Develops working prototypes using no-code and low-code AI platforms to illustrate how AI can be applied to real operational challenges.
- Presents and demonstrates prototype solutions to stakeholders, translating outputs into clear business value.