Senior AI Programmer Analyst

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
Bachelors 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.