Description
The Senior AI Programmer Analyst is an individual contributor responsible for the design, development, deployment, and ongoing optimization of artificial intelligence and machine learning solutions that advance the university’s academic, administrative, and research missions. Reporting to the Director of Data, Intelligence, and Automation or designated ITS leadership, this role serves as a subject matter expert in applied AI and works in close collaboration with ITS teams, academic departments, and institutional stakeholders to deliver responsible, scalable, and impactful AI capabilities. The Senior AI Programmer Analyst applies deep technical expertise to solve complex problems, leads the development of AI standards and best practices, and ensures all solutions align with institutional policy, data governance requirements, and ethical AI principles

About the University of New England
UNE is Maine’s largest private university, with two beautiful coastal campuses in Maine, a one-of-a-kind study-abroad campus in Tangier, Morocco, and an array of flexible online offerings. In an uncommonly welcoming and supportive community, we offer hands-on learning, empowering students to positively impact a world full of challenges. We are the state’s top provider of health professionals and home to Maine’s only medical and dental colleges, a variety of other interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts.​​​​​​​​​​​​​​​​​​​​​

Benefits Overview
UNE offers a generous comprehensive benefits package to eligible employees. The package includes varied health and dental plans; a retirement plan that includes up to an 8% match; extensive paid leave including holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site (https://www.une.edu/hr/benefits) for additional information regarding UNE’s fantastic benefits package.
Responsibilities
AI Development & Implementation
Design, build, test, and deploy AI/ML models, pipelines, and applications
Develop solutions using large language models (LLMs), generative AI, and retrieval-augmented generation (RAG)
Write clean, maintainable code (primarily in Python) following best practices
Evaluate and implement AI tools, frameworks, and platforms (e.g., Azure OpenAI, Hugging Face, LangChain)
Build and maintain data pipelines to support model training and deployment
Enterprise Integration & Collaboration
Integrate AI solutions with enterprise systems (ERP, SIS, CRM, LMS, etc.) using APIs and modern architectures
Collaborate with technical teams to ensure solutions are secure, scalable, and high-performing
Support data quality efforts and develop monitoring tools to track model performance
AI Governance & Responsible Use
Apply responsible AI principles, including fairness, transparency, and data privacy
Conduct model evaluations, bias assessments, and risk analyses
Ensure compliance with institutional policies and regulations (e.g., FERPA, HIPAA)
Contribute to AI governance frameworks and documentation
Technical Leadership & Engagement
Serve as a technical resource and mentor for AI-related work
Lead knowledge-sharing activities and promote AI literacy across the organization
Partner with stakeholders to define use cases and translate technical concepts into clear solutions
Participate in projects, working groups, and AI strategy initiatives
Other duties as assigned
Qualifications
Bachelor’s degree in computer science, information systems, information technology, or a closely related field; or an equivalent combination of education and professional experience.
Minimum of three to five years of progressively responsible experience in enterprise systems administration, configuration, development, or support in a complex multi-system environment.
Demonstrated experience with at least one major enterprise student information and/or ERP platform (for example, Ellucian Banner, Oracle Student, Workday Student, or equivalent).
Experience developing and maintaining system integrations using APIs, ETL tools, middleware platforms, or file-based exchange methods.
Proficiency in one or more programming or scripting languages relevant to enterprise systems development (for example, SQL, PL/SQL, Python, Java, Groovy, or Apex).
Solid understanding of relational database concepts and the ability to write and optimize complex queries for reporting, integration, and troubleshooting purposes.
Knowledge of enterprise systems security administration, role-based access control, and data governance principles.
Strong analytical and problem-solving skills with the ability to translate functional requirements into effective technical solutions. Excellent written and verbal communication skills with the ability to explain technical concepts and system behavior to non-technical functional partners.
Ability to work effectively across organizational boundaries with diverse stakeholders including administrative offices, academic departments, and external vendors.
Commitment to data privacy, information security, and institutional policy compliance.
Preferred Qualifications
Experience with multiple enterprise platforms spanning student, ERP, SIS, HR, financial, and CRM functions in a higher education setting.
Hands-on experience with Salesforce or another enterprise CRM platform, including configuration, custom development, and integration.
Familiarity with higher education-specific data standards and reporting requirements (for example, IPEDS, NSC, Common App, state reporting).
Experience with identity management and single sign-on integration (for example, LDAP, SAML, Shibboleth, Microsoft Entra ID) as it relates to enterprise system access.
Knowledge of cloud-hosted enterprise platform models (SaaS) and experience managing vendor-hosted system environments.
Experience supporting or participating in major enterprise system implementations or upgrades.
Relevant vendor or platform certifications (for example, Salesforce Administrator, Workday Pro, Ellucian certifications).
Experience with agile or iterative delivery methods in an enterprise systems context.
EEO Statement Summary
Consistent with federal and state law and University policy, the University of New England is committed to the fundamental concept of equal opportunity for all of the members of the University community. The University prohibits, and will not tolerate, discrimination in employment, the provision of academic services or in any other area of University life based on race, color, sex, physical or mental disability, religion, age, ancestry, national origin, sexual orientation, gender identity and/or expression, ethnicity, genetic information, HIV status, or status as a veteran. Prohibited bias factors should not motivate decisions regarding students, employees, applicants for admission, applicants for employment, contractors, volunteers or participants in and/or users of institutional programs, services, and activities.