Artificial Intelligence (AI) Specialist

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.