Technologist in Residence: AI, Law & Innovation

FORDHAM University; New York (NY); On-site; USD 93,000 - 115,000; Full time

Job summary

Fordham University in New York is seeking a technical expert at the intersection of systems architecture and policy to lead internal operations for the Law School and to shape the global conversation on responsible AI through conferences and events.

The role combines building internal applications with driving cross-disciplinary initiatives, requiring a strong background in software development, data engineering, and project management.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• Minimum of 3 years of professional software development or data engineering experience.
• Proficiency in at least one programming language, SQL, and modern web frameworks; demonstrated project management ability.

Responsibilities

• Architect a new, high-profile interschool student competition on Law, Technology, and Governance.
• Organize "Law & Tech" symposia with Fordham faculty and NY tech community.
• Advise faculty and staff on safe integration of AI tools into classes and workflows.
• Build and deploy bespoke internal applications for financial tracking, student services, or faculty workflows.
• Audit data silos and create unified dashboards for leadership monitoring school health and efficiency.
• Identify manual, paper-heavy processes and engineer digital-first replacements with privacy and security in mind.

Skills

Programming languages

SQL

Web frameworks

Education

Bachelor’s or Master’s in Computer Science, Data Science, or related field

Job description

Fordham University in New York is seeking a technical expert at the intersection of systems architecture and policy to lead internal operations for the Law School and to shape the global conversation on responsible AI through conferences and events.

The role combines building internal applications with driving cross-disciplinary initiatives, requiring a strong background in software development, data engineering, and project management.