Boston University
CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost
Boston University, Boston, Massachusetts, us, 02298
CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost
Organization: Boston University
Category: Professional
Location: Boston, MA, United States
Overview The CDS Data Systems, Software, and AI Engineer will serve as the technical lead on a portfolio of interdisciplinary projects spanning software engineering, data systems, and artificial intelligence. The engineer will guide individuals and teams in the design, development, deployment, and evaluation of (near) production-quality systems—whether software platforms, data infrastructures, or AI-powered solutions—aligned with CDS research, teaching, and operational priorities.
Responsibilities
Lead the design and implementation of integrated software systems, scalable data infrastructures, and AI-powered applications that support faculty research and clinic-based projects. Standardize development practices and maintain an online repository of completed projects, datasets, software tools, and AI models.
Support faculty in delivering high-quality experiential learning through CDS clinics and BU Spark! practicum offerings. Provide mentorship and technical guidance to junior staff, student project managers, and interns.
Collaborate with CDS faculty on sponsored research projects that require software prototypes, data pipelines, and AI systems. Serve as a liaison to BU departments providing computing resources and technical support.
Provide advisory support to faculty, students, and partners on the design and implementation of pilot projects involving software development, data engineering, and AI integration.
Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, Computational Sciences, Mathematics, Statistics, or related technical field.
5‑8 years of relevant experience in software engineering, data systems, or AI.
Strong background in code quality, data governance, security protocols, and model evaluation.
Experience with modular software platforms, MCP-based data repositories, and AI components, including large language models and agentic AI systems.
EEO Statement We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy‑related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.
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Category: Professional
Location: Boston, MA, United States
Overview The CDS Data Systems, Software, and AI Engineer will serve as the technical lead on a portfolio of interdisciplinary projects spanning software engineering, data systems, and artificial intelligence. The engineer will guide individuals and teams in the design, development, deployment, and evaluation of (near) production-quality systems—whether software platforms, data infrastructures, or AI-powered solutions—aligned with CDS research, teaching, and operational priorities.
Responsibilities
Lead the design and implementation of integrated software systems, scalable data infrastructures, and AI-powered applications that support faculty research and clinic-based projects. Standardize development practices and maintain an online repository of completed projects, datasets, software tools, and AI models.
Support faculty in delivering high-quality experiential learning through CDS clinics and BU Spark! practicum offerings. Provide mentorship and technical guidance to junior staff, student project managers, and interns.
Collaborate with CDS faculty on sponsored research projects that require software prototypes, data pipelines, and AI systems. Serve as a liaison to BU departments providing computing resources and technical support.
Provide advisory support to faculty, students, and partners on the design and implementation of pilot projects involving software development, data engineering, and AI integration.
Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, Computational Sciences, Mathematics, Statistics, or related technical field.
5‑8 years of relevant experience in software engineering, data systems, or AI.
Strong background in code quality, data governance, security protocols, and model evaluation.
Experience with modular software platforms, MCP-based data repositories, and AI components, including large language models and agentic AI systems.
EEO Statement We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy‑related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.
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