AIMachine Learning Engineer
Job Location:
Job Location:
Rose Hill, VA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position Summary
Reporting to the Assistant Vice President of Enterprise AI the AI/Machine Learning Engineer supports the advancement of the Universitys enterprise AI strategy by designing building and implementing practical artificial intelligence and machine learning solutions across the university ecosystem. This senior role serves as a technical implementation lead contributing to a dual-path approach focused on developing targeted AI agents to support the student journey and building predictive models that help anticipate institutional needs. Working closely with the AVP information technology data governance academic and administrative stakeholders the role translates institutional needs into secure scalable ethical and privacy-compliant AI/ML solutions that improve campus operations decision support and student outcomes.
Essential Functions
Designs and deploys multi-agent systems capable of reasoning tool-use and autonomous problem-solving throughout the student success lifecycle (Recruitment Learning and Development Career Services and Alumni Relations). Develops and maintains predictive models that provide actionable insights into areas such as student success enrollment planning operational efficiency and early identification of students who may benefit from timely support. Identifies opportunities to improve university operations and student outcomes through practical AI/ML solutions including workflow automation decision-support tools and AI-assisted administrative processes. Assists in the development of the technical roadmap for AI and machine learning implementation by assessing feasibility documenting solution architecture recommending scalable approaches and supporting implementation priorities established by the AVP with attention to ethics privacy security FERPA / GDPR and applicable governance standards. Builds and supports retrieval-augmented generation workflows vector database integrations and AI application components using approved platforms institutional data sources and responsible development practices. Serves as the liaison between university leadership (Administration Deans Faculty) technical AI/Data Science teams and external vendors to align academic mission with technological execution.
Preferred Qualifications
Ph.D degree in Computer Science Engineering or a related field.
Work Environment
Office Environment: Employees are protected from weather conditions or contaminants but not necessarily occasional temperature changes.
Reporting to the Assistant Vice President of Enterprise AI the AI/Machine Learning Engineer supports the advancement of the Universitys enterprise AI strategy by designing building and implementing practical artificial intelligence and machine learning solutions across the university ecosystem. This senior role serves as a technical implementation lead contributing to a dual-path approach focused on developing targeted AI agents to support the student journey and building predictive models that help anticipate institutional needs. Working closely with the AVP information technology data governance academic and administrative stakeholders the role translates institutional needs into secure scalable ethical and privacy-compliant AI/ML solutions that improve campus operations decision support and student outcomes.
Essential Functions
Designs and deploys multi-agent systems capable of reasoning tool-use and autonomous problem-solving throughout the student success lifecycle (Recruitment Learning and Development Career Services and Alumni Relations). Develops and maintains predictive models that provide actionable insights into areas such as student success enrollment planning operational efficiency and early identification of students who may benefit from timely support. Identifies opportunities to improve university operations and student outcomes through practical AI/ML solutions including workflow automation decision-support tools and AI-assisted administrative processes. Assists in the development of the technical roadmap for AI and machine learning implementation by assessing feasibility documenting solution architecture recommending scalable approaches and supporting implementation priorities established by the AVP with attention to ethics privacy security FERPA / GDPR and applicable governance standards. Builds and supports retrieval-augmented generation workflows vector database integrations and AI application components using approved platforms institutional data sources and responsible development practices. Serves as the liaison between university leadership (Administration Deans Faculty) technical AI/Data Science teams and external vendors to align academic mission with technological execution.
Preferred Qualifications
Ph.D degree in Computer Science Engineering or a related field.
Work Environment
Office Environment: Employees are protected from weather conditions or contaminants but not necessarily occasional temperature changes.
Required Experience:
IC
About Company
Fordham is a top-ranked Catholic university in NYC, offering exceptional education in the Jesuit tradition to approx. 15,000 students across 9 schools.
