Mercy University is looking to drive AI literacy, integration, and innovation across academic, administrative, and operational domains by developing and executing an AI roadmap, aligning with institutional goals and IT architecture.
Requirements
- Proficiency in Python, SQL, and common ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
- Experience with cloud platforms (e.g. AWS, Azure, GCP) and MLOps tooling (e.g. Docker, Kubernetes, MLflow)
- 3+ years of hands-on experience with AI/ML, data pipelines, APIs, and system integration
- Experience designing and executing training programs or workshops
- Understanding of data privacy, ethics, bias mitigation, and regulatory compliance in higher ed
- Familiarity with large language models (LLMs), prompt engineering, and generative AI
- Prior experience with AI adoption programs, diffusion of innovation, or change management
Responsibilities
- Lead development and execution of Mercy’s AI roadmap, aligning with institutional goals and IT architecture
- Design, build, and maintain AI/ML models, pipelines, and integrations (e.g., with ERP, LMS, SIS, workflow engines)
- Package and deliver AI tools to faculty, staff, and students (e.g. writing assistants, advising bots, summarization, analytics)
- Establish governance practices and guardrails: data privacy, bias mitigation, model explainability, compliance (FERPA, HIPAA, etc.)
- Monitor and evaluate AI tool performance, usage metrics, ROI, and risks; iterate on improvements
- Collaborate with third-party AI vendors, cloud providers, and solution integrators—manage relationships, contracts, APIs, and SLAs
- Stay current with AI research, open-source tools, and industry best practices—evaluate and pilot novel technologies
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred)
- Strong communication skills and ability to translate technical concepts to non-technical stakeholders
- Demonstrated project management skills and ability to lead cross-functional teams
- Experience working in higher education or with educational technologies (LMS, SIS, etc.)
- Ability to work in a diverse and inclusive environment
