AI Specialist

AI Specialist

The AI Specialist is responsible for leading the deployment, training, implementation, and ongoing management of artificial intelligence initiatives across the organization. This role partners with managers, team leaders, and company leadership to identify opportunities where AI can drive efficiency and improve workflows. The AI Specialist serves as the organization's internal expert on AI tools and platforms, ensuring teams adopt and use AI appropriately, responsibly, and effectively.

• AI Strategy & Implementation
• Research, evaluate, and recommend AI platforms, tools, and software solutions that align with organizational needs and goals.
• Deploy and implement AI solutions across departments, including configuration, integration, and rollout.
• Train employees, managers, and leadership on the effective and appropriate use of AI tools.
• Proactively engage with managers and team leaders across the organization to identify opportunities where AI can improve efficiency, reduce manual effort, and enhance team output. This is a proactive outreach role; the AI Specialist is expected to seek out opportunities rather than wait for requests.
• Lead AI-related projects from concept through implementation, including scoping, planning, execution, and post-launch support.
• Manage AI tool licensing and seat allocation across the organization
• Own data integrity related to AI initiatives, ensuring data used for AI tools and workflows is accurate, secure, and properly governed.
• Identify and implement software-specific AI solutions tailored to departmental and organizational workflows.
• Stay current on AI developments, emerging tools, and industry best practices through ongoing research.
• Establish and promote responsible AI use guidelines, ensuring teams apply AI in ways consistent with company policies, data security, and ethical standards.

• Demonstrated experience in IT systems, software deployment, and end-user support.
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences and collaborate effectively with leadership and cross-functional teams.
• Self-directed and proactive; comfortable identifying opportunities and driving them forward without waiting for direction.
• Solid understanding of data management, data integrity, and security principles.