About the job
Hello and welcome!
Are you on the lookout for an exciting new role, or simply curious about the latest advancements in AI and automation? If so, you've come to the right place!
Lightspeed is in search of an AI Enablement Specialist, who will take on a pivotal role as the hands-on advocate for our Enterprise Search & No-Code Agentic AI Platform. Reporting directly to the Head of IT, this hybrid position is designed to bridge the gap between technical implementation and business integration, spearheading the transition towards an Agent-Powered Workforce. Your contributions will include delivering expert training, facilitating advanced technical enablement, and assisting teams in identifying and validating impactful AI use cases through our AI Labs methodology.
Your Key Responsibilities:
- Deliver Level 2/3 technical enablement for intricate issues related to AI agent development, workflow logic, and tool integrations.
- Support the organization with platform configuration and connector integrations (e.g., Google Workspace, Slack, ServiceNow), ensuring data accuracy and permission fidelity.
- Build, test, and iterate proof-of-concept (POC) No-Code Agents to showcase feasibility and business value.
- Manage and prioritize the Agentic AI backlog, aligning projects with high-value, repeatable tasks identified through AI Labs.
- Facilitate the successful adoption of Project Sidekick across the organization.
- Maintain expert-level knowledge of the Agent Builder environment and associated productivity tools (e.g., Atlassian, Miro, Monday.com).
- Design, develop, and deliver impactful training curricula focused on advanced Enterprise Search and agent utilization.
- Train and manage a decentralized network of internal “AI Champions” to foster adoption across various departments.
- Collaborate with P&C and Communications to implement internal marketing strategies that heighten awareness and demonstrate successful use cases.
- Conduct AI Labs workshops, facilitating teams in workflow mapping and pain point identification.
- Validate and qualify AI use cases by translating business needs into actionable, technically feasible Agent requirements.
- Contribute as part of the wider IT team to achieve overarching organizational goals, even when they extend beyond the immediate role.

