Job DescriptionBoston University invites applications for two Artificial Intelligence (AI) in Business faculty positions at the rank of non-tenure track Clinical Associate Professor in the Information Systems Department in the Questrom School of Business. The anticipated start date for these positions is July 1, 2026.
We seek outstanding candidates who are passionate about teaching and engaging with graduate and undergraduate students, as well as collaborating with corporate partners. Candidates should have applied expertise in AI and technology companies or corporate environments developing and implementing AI solutions. Specifically:
Faculty will play a leadership role in curriculum development and delivery for a new online MS in AI in Business and the potential extend AI-in-Business content into Questrom's MBA and undergraduate programs. There is also the possibility of including a B2B-focused track in the MS in AI in Business. Faculty will also contribute to Questrom's Digital Business Institute and build interdisciplinary connections with the University's Faculty of Computing and Data Science.
Applicants must possess, or be near completion of, a PhD in Computer Science, Information Systems, or a related field by the start of employment. Salary will be commensurate with experience.
The Questrom School of Business offers generous research and teaching support. The salary range for Clinical Associate Professors at the Questrom School of Business is $174,100 - $215,000.
Since its founding in 1839, Boston University has embraced a mission of openness and access, becoming one of the first universities in the nation to welcome all students of ability regardless of race, gender, or creed. That tradition shapes our enduring commitment to academic freedom, free inquiry, and the robust exchange of ideas.
We seek scholars who will contribute to our community of teachers and researchers through excellence in innovative scholarship, engaged teaching, and participation in the intellectual life of the University. Boston University provides an environment where faculty and students work together across disciplines, perspectives, and experiences to advance knowledge and address society's most pressing challenges.
How to ApplyApplications should submit a cover letter specifying the position the candidate is applying for, a complete curriculum vitae, three reference letters, and up to three recent publications or working papers in electronic (PDF) format to ;br>
While we will accept applications until we fill the position, we strongly encourage interested candidates to apply by March 31, 2026. To ensure full consideration, candidates are encouraged to apply early.
Required SkillsStrong candidates will have hands-on experience applying AI to business problems end-to-end, including one or more of the following:
- Business use cases (traditional ML + GenAI): delivering measurable outcomes in industries such as healthcare, financial services, insurance, retail/e-commerce, supply chain/logistics, manufacturing, and the public sector, across use cases including forecasting, classification, personalization, pricing, risk scoring, anomaly/fraud detection, optimization, and decision support.
- Enterprise GenAI for knowledge work: implementing retrieval-augmented generation (RAG) and knowledge-base integration to improve productivity and decision quality in functions such as customer support, sales, marketing, finance operations, HR, and procurement.
- Workflow automation with AI agents: designing multi-step, tool-using systems for real business processes (e.g., triage, summarization, drafting, routing, compliance checks) with human-in-the-loop approvals and safe execution.
- Responsible AI in business settings: building governance processes (model risk management, documentation, monitoring, compliance) appropriate for regulated and high-stakes environments.
- Data privacy and security in deployment: enabling AI adoption while protecting sensitive data (personally identifiable information, confidential corporate information) and managing third-party/vendor risk.
- Business measurement and adoption: running AI experiments, defining key performance indicators (KPIs) and return on investment (ROI), and driving implementation through prototyping, stakeholder alignment, change management, and organizational adoption.
- Executive education / business school teaching: experience teaching applied AI and analytics to business audiences, including MBA students and mid-level to senior executives, with an emphasis on practical decision-making, real-world case discussions, and translating technical concepts into business strategy and implementation.
Boston University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, age, national origin, ethnicity, disability, veteran status, or any other characteristic protected by law or identified in the University's Notice of Non-Discrimination. Retaliation is also prohibited. We are a VEVRAA Federal Contractor. Under Massachusetts law, we may not require or administer a lie detector test as a condition of employment or continued employment.
Boston University, consistent with the AAU's Principles on Preventing Sexual Harassment, conducts background checks for final candidates for certain faculty and staff positions. As part of this process, we ask current and past employers of the last seven years whether there has been a substantiated finding of sexual misconduct under their policies. To move forward, final candidates must complete and sign an "Authorization to Release Information" form after receiving an offer to enable this background check.
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