Generative AI Solutions Engineer

Job Description Summary

The Generative AI Solutions Engineer develops and supports data integrations, reporting, automation, and AI-enabled solutions with an emphasis on enterprise data and analytics.

The position is responsible for supporting the initial design, development and operationalization of enterprise AI agents that serve student success needs.

Working across the organization, the Generative AI Solutions Engineer, supports data governance, quality monitoring, metadata, lineage, tagging, and traceability to trusted sources.

Key Responsibilities:

AI Solutions and AI-Enabled Analytics

• Develop, configure, test, and maintain student, advisor, and staff-facing AI agents using Microsoft Copilot Studio, Azure AI, Microsoft Fabric, and related technologies. • Translate business use cases into technical requirements, solution designs, data requirements, prototypes, and testing plans. • Build prompts, workflows, connectors, knowledge sources, integrations, and retrieval-augmented generation solutions using approved institutional data and documents. • Monitor and troubleshoot enterprise solutions. • Document AI architecture, data sources, testing results, safeguards, limitations, and responsible AI practices.

Data Quality, Classification, Metadata, and Lineage

• Develop and maintain data quality rules, validation processes, monitoring, and certification of trusted data assets and reports. • Profile data and investigate errors; coordinate root-cause analysis and…