Artificial Intelligence (AI) Specialist

Title: AI Specialist

Reports To: Director, Information Technology – North America

Experience: 1–4 years

Employment Type: Full-time

Position Summary

The AI Specialist leads the organization’s practical adoption of AI solutions. Note: This is a business process automation and enablement role rather than a data science or AI engineering position. The primary focus is identifying where AI assistants, bots, and agents can eliminate manual workloads, deploying those solutions using low-code platforms, and establishing the training, governance, and strategic roadmap necessary to ensure safe and effective company-wide adoption.

Key Responsibilities



Automation with Bots & Agents

• Partner across departments to identify repetitive, rules-based, or document-heavy tasks suitable for AI or automation.
• Build and maintain agents and bots using Copilot Studio, Power Automate, and similar low-code platforms.
• Document every use case including business problem, process flow (before/after), data sources, functional owner, and measurable ROI.
• Manage and prioritize the AI use-case backlog and report progress to IT leadership.

Training & Change Management

• Develop and deliver tailored AI training for employees across skill levels (from basic prompting techniques to building simple low-code agents).
• Create user resources, including quick-reference guides, prompt libraries, and recorded training sessions.
• Establish and facilitate a network of departmental "AI Champions" to drive grassroots adoption.
• Track utilization of licensed AI tools and advise leadership on licensing optimization.

Strategy & Governance

• Draft and maintain an enterprise AI strategy and roadmap aligned with key business objectives.
• Partner with leadership to author the organization's AI acceptable use policy, ensuring alignment with existing IT security, data classification, and vendor assessment standards.
• Evaluate prospective AI vendors and tools for data privacy, security, cost efficiency, and technical fit.
• Collaborate with the M365 Administrator on data readiness for Copilot (permissions, sensitivity labels, and access controls across SharePoint and Teams).

Required

• Education & Experience: Bachelor’s degree in Information Systems, Business, Computer Science, or a related field (or equivalent experience), plus 1–4 years in business analysis, process improvement, IT, or automation.
• Technical Skills: Hands-on experience applying generative AI tools (Microsoft Copilot, ChatGPT, or similar) to real-world business tasks.
• Low-Code Build Experience: Demonstrated experience building at least one functional bot or workflow automation using low-code tools (Copilot Studio, Power Automate, Zapier, UiPath, etc.).
• Process Mapping: Proven ability to map business processes, identify inefficiencies, and execute automation opportunities.
• Communication: Excellent presentation, training, and stakeholder engagement skills.

Preferred

• Microsoft certifications such as PL-900, PL-200, AI-900, or Copilot Studio specialization.
• Prior experience working within a manufacturing, distribution, or ERP-centered business environment.
• Understanding of core AI risk domains: data leakage, hallucinated outputs, IP considerations, and access management.
• Experience drafting formal IT policies, documentation, or curriculum.
• Familiarity with M365 architecture, specifically SharePoint and Teams permissions.

First-Year Success Measures

• Formally approved Enterprise AI Strategy and AI Acceptable Use Policy.
• 3 to 5 production-ready bots/agents deployed with measurable time or cost savings.
• Departmental AI training delivered company-wide, with active AI Champions embedded across all teams.