AI Integration Specialist

Position Summary

The AI Integration Specialist serves as a technical and operational resource responsible for configuring, integrating, and supporting artificial intelligence tools across institutional systems and workflows. The role bridges the gap between technical development and real‑world implementation, ensuring AI systems are deployed ethically, accurately, and effectively.

This position supports end‑user training, prompt engineering, workflow testing, system troubleshooting, and continuous monitoring of AI outputs for quality, risk, and bias. The Specialist also contributes to documentation, compliance reporting, and industry‑specific AI projects that enhance institutional efficiency, student success, and responsible technology adoption.

• Install, configure, and integrate AI platforms and enterprise tools.
• Conduct vendor evaluations, build‑vs‑buy analyses, and ROI justification.
• Apply governance, privacy, and responsible data controls.
• Design integrations with awareness of context windows, model reliability limits, and workflow constraints.

• Operationalize legal, ethical, and policy requirements related to AI usage.
• Conduct bias and risk assessments at prompt, data, and evaluation levels.
• Implement incident response, escalation, and rollback procedures for AI systems.

• Provide user support across AI interfaces including chat, dashboards, and voice‑based tools.
• Design and deliver role‑specific training on AI literacy, prompting, and workflow adoption.
• Support change‑management and readiness activities for new AI tools.

• Use structured prompting techniques (role, context, constraints, refinement).
• Develop advanced prompts including system prompts, multi‑component sequences, RAG workflows, and multimodal inputs.
• Build formal test suites to evaluate accuracy, consistency, edge cases, and fallback behavior.
• Simulate real‑world workflows using AI tools and evaluate alignment with institutional objectives.