AI Specialist

<p><strong>Job Title:</strong> AI Implementation Specialist</p> <p><strong>Department:</strong> Technology / Operations</p> <p><strong>Reports To:</strong> IT HEAD / COO / CEO</p> <p><strong>Employment Type:</strong> Full-Time</p> <h3>About the Role</h3> <p>We are looking for a curious, tech-savvy, and proactive AI Implementation Specialist to help drive the company's AI and automation initiatives. This is a hands-on, execution-focused role where you will work closely with different teams to identify manual, repetitive workflows and transform them using AI-powered tools and automation. No team of your own to manage — just real impact through real projects.</p> <p>This is a great opportunity for someone early in their career who is passionate about AI and wants to be at the forefront of how businesses use it day-to-day.</p> <h3>Key Responsibilities</h3> <p><strong>AI Project Support & Execution</strong></p> <p> Assist in the planning, coordination, and execution of AI projects from kick-off to deployment.</p> <p> Research and evaluate AI tools, platforms, and solutions that fit specific business needs.</p> <p> Work with vendors and internal stakeholders to integrate AI tools into existing systems and workflows.</p> <p> Document project progress, timelines, and outcomes to keep stakeholders informed.</p> <p><strong>Workflow Automation</strong></p> <p> Conduct walkthroughs with department teams (Finance, Purchasing, Operations, Sales, Logistics, etc.) to understand and map out manual processes.</p> <p> Identify tasks suitable for automation and propose practical AI-driven solutions.</p> <p> Build and deploy automations using no-code/low-code tools such as Make (Integromat), Zapier, Microsoft Power Automate, or similar platforms.</p> <p> Monitor and maintain deployed automations, troubleshooting issues and making improvements over time.</p> <p><strong>AI Tools Adoption</strong></p> <p> Help onboard employees onto new AI tools through simple guides, walkthroughs, and hands-on support.</p> <p> Act as an internal resource and first point of contact for questions related to AI tools in use.</p> <p> Stay up to date on new AI tools and use cases, and share relevant findings with the team.</p> <p><strong>Reporting & Documentation</strong></p> <p> Track key metrics such as time saved, error reduction, and adoption rates for implemented solutions.</p> <p> Maintain clear documentation of all automations, integrations, and AI workflows.</p> <p> Prepare simple reports and updates for management on project status and results.</p> <h3>Requirements</h3> <p><strong>Must-Have</strong></p> <p> 1–3 years of experience in a tech, operations, or process improvement role.</p> <p> Hands-on experience with at least one automation or no-code tool (e.g., Zapier, Make, Power Automate, Notion AI, etc.).</p> <p> Comfortable using and exploring AI tools (e.g., ChatGPT, Claude, Gemini, or similar).</p> <p> Strong attention to detail and ability to document processes clearly.</p> <p> Good communication skills — able to explain tech concepts simply to non-technical colleagues.</p> <p> Self-starter attitude with a willingness to learn and figure things out.</p> <p><strong>Nice-to-Have</strong></p> <p> Exposure to basic scripting or programming (Python, JavaScript) — not required but a plus.</p> <p> Familiarity with project management tools (Asana, Jira, Notion, Trello).</p> <p> Experience working across multiple departments or in a cross-functional environment.</p> <p> Understanding of prompt engineering or working with LLM-based tools.</p> <h3>Success Metrics</h3> <p> Number of manual workflows successfully automated within the first 6–12 months.</p> <p> Time savings and efficiency gains reported by teams using automated processes.</p> <p> Employee adoption and satisfaction with AI tools introduced.</p> <p> Quality and completeness of process documentation maintained.</p>