AI Solutions EngineerUniversity of North Carolina at Wilmington • Wilmington, North Carolina, United States
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AI Solutions Engineer
University of North Carolina at Wilmington
- Wilmington, North Carolina, United States
- Wilmington, North Carolina, United States
About
Working within a collaborative model of innovation, this role empowers academic and administrative units to design and build AI-driven solutions while operating within established governance, security, and architectural standards. The AI Solutions Engineer provides the guidance, frameworks, and oversight needed to ensure these efforts are aligned, sustainable, and secure.
This position plays a critical role in establishing a sound and scalable AI environment—ensuring solutions are built using the right tools for the task, are intuitive and accessible for end users, and align with long-term enterprise architecture. Through this approach, the role helps the university advance innovation while avoiding unnecessary technical debt and supporting improved student outcomes, academic programs, and operational efficiency.
Hiring Range Determined based on qualifications and/or experience.
Minimum Education and Experience Requirements
4 years of experience in application development, data engineering, or related technical roles.
Demonstrated experience designing and implementing solutions using AI, automation, or advanced data tools.
Experience taking responsibility for designing, delivering, and implementing technical solutions, including translating business requirements into working systems.
Experience working directly with business stakeholders to solve complex problems.
Preferred Education, Knowledge, Skills & Experience
Demonstrated experience designing, implementing, or supporting AI- or automation-enabled solutions using platforms such as Azure AI, Open AI, Power Platform, or comparable tools in an enterprise environment.
Experience working with APIs, system integrations, and modern application architectures, including connecting multiple systems and managing data exchanges.
Working knowledge of data architecture concepts, including structured and unstructured data, and how operational data supports reporting and analytics.
Experience working in higher education or similarly complex, highly regulated organizations, with diverse stakeholders, legacy systems, and formal governance structures.
Experience supporting or collaborating on research, analytics, or innovation initiatives in a higher education or research-intensive environment.
Experience participating in enterprise technology evaluation and selection, including requirements gathering, technical review, and vendor assessment.
Demonstrated ability to lead and implement technical solutions, balancing architectural decision-making with hands‑on development, configuration, or prototyping.
Proven ability to deliver solutions with a focus on usability, adoption, and operational effectiveness, ensuring technology meets practical business needs.
Experience applying data governance, security, and sustainability practices, such as defining data ownership, ensuring appropriate access controls, documenting integrations, and considering long‑term support, risk, and compliance requirements.
UNCW does not discriminate against any employee or applicant for employment because of his or her race, sex (including gender identity, marital status, childbirth, and pregnancy), age, color, national origin (including ethnicity), religion, disability, sexual orientation, political affiliation, veteran status, military service member status, genetic information, or relationship to other university constituents – except where sex, age, or ability represent bona fide educational or occupational qualifications or where marital status is a statutorily established eligibility criterion for State funded employee benefit programs.
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Languages
- English
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