Manager AI Research Computing Initiatives IST Research Computing

Boston University; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Time Off & Holidays

Tuition Assistance Program

University-funded retirement plan

Job summary

Boston University IS&T's Research Computing Services (RCS) seeks a Manager, AI & Research Computing Initiatives to drive AI strategy in research computing. Lead the technical roadmap, coordinate AI infrastructure, and act as a bridge between IS&T and BU researchers, with day-to-day supervision of the RCS team.

The role shapes infrastructure and service delivery, guides training and documentation, and partners with research leadership on broader strategy, including reporting and

Qualifications

• Experience developing or leading AI, machine learning, research computing, or advanced computing infrastructure strategy and roadmaps.
• Knowledge of GPU and accelerator capacity planning, containerized and AI workflows, data pipelines, model-serving needs, and MLOps tooling.
• Experience coordinating technical projects, incident management, service requests, and cross-functional support across technical and research groups.
• Experience supervising and developing staff, setting priorities and workload, managing service delivery, and supporting hiring and onboarding.
• Experience creating operational reports, analyzing business processes, and developing workflows for research computing or regulated research environments.

Responsibilities

• Set and drive the technical roadmap for AI-enabled research computing, including GPU and accelerator capacity planning, containerized and AI workflows, and MLOps tooling.
• Anticipate emerging compute, data-pipeline, and model-serving needs; translate them into infrastructure plans; coordinate RCS staff daily work on research projects, incident management, and service request fulfillment.
• Follow up on requests and incidents at risk of becoming overdue, and coordinate across IS&T to ensure the necessary support and engagement are in place from technical units and research groups.
• Supervise, mentor, and develop the team executing this work by setting priorities and workload, managing service delivery, and supporting performance management, professional development, hiring, and onboarding.
• Create annual, monthly, and ad hoc resource reports on system utilization, storage services, buy-in utilization, and other operational metrics.
• Provide business process analysis for research project workflows, including large projects hosted on Secure Research Enclaves or other regulated research systems, and engage with RCS Operations on chargeback and service models as needed.
• Coordinate academic and non-academic training provided by RCS staff, including synchronous and asynchronous training and video tutorials.
• Coordinate and manage documentation updates on RCS TechWeb pages and other RCS documentation sources.

Skills

AI strategy

Machine learning

Research computing

Advanced computing infra

GPU/accelerator planning

MLOps tooling

Staff supervision

Job description

Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experience to join our innovative and inclusive community. Join us as the Manager, AI & Research Computing Initiatives, where you will lead IS&T's strategy and planning for artificial intelligence in research computing within Research Computing Services (RCS). You will set and drive the technical roadmap for AI-enabled research computing, coordinate the facilitation, technology, and infrastructure support RCS provides to Boston University researchers, and serve as the primary technical bridge between IS&T and the University's academic and research community. As part of RCS, you will supervise the team executing this work day-to-day and partner with research computing leadership on the broader research computing strategy, specifically representing the AI/ML dimension. This position is eligible for a hybrid work schedule.

You Will:

• Set and drive the technical roadmap for AI-enabled research computing, including GPU and accelerator capacity planning, containerized and AI workflows, and MLOps tooling.
• Anticipate emerging compute, data-pipeline, and model-serving needs; translate them into infrastructure plans; and serve as IS&T's internal resource on AI infrastructure. Coordinate RCS staff daily work on research projects, incident management, and service request fulfillment.
• Follow up on requests and incidents at risk of becoming overdue, and coordinate across IS&T to ensure the necessary support and engagement are in place from technical units and research groups.
• Supervise, mentor, and develop the team executing this work by setting priorities and workload, managing service delivery, and supporting performance management, professional development, hiring, and onboarding.
• Create annual, monthly, and ad hoc resource reports on system utilization, storage services, buy-in utilization, and other operational metrics.
• Provide business process analysis for research project workflows, including large projects hosted on Secure Research Enclaves or other regulated research systems, and engage with RCS Operations on chargeback and service models as needed.
• Coordinate academic and non-academic training provided by RCS staff, including synchronous and asynchronous training and video tutorials.
• Coordinate and manage documentation updates on RCS TechWeb pages and other RCS documentation sources.

Required Skills

You Will Have:

• Experience developing or leading AI, machine learning, research computing, or advanced computing infrastructure strategy and roadmaps.
• Knowledge of GPU and accelerator capacity planning, containerized and AI workflows, data pipelines, model-serving needs, and MLOps tooling.
• Experience coordinating technical projects, incident management, service requests, and cross-functional support across technical and research groups.
• Experience supervising and developing staff, setting priorities and workload, managing service delivery, and supporting hiring and onboarding.
• Experience creating operational reports, analyzing business processes, and developing workflows for research computing or regulated research environments.

Bonus Qualifications:

• If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn.
• Experience supporting AI-intensive, grant-funded research or working directly with faculty, research computing champions, and research labs.
• Experience with Secure Research Enclaves, regulated research systems, chargeback models, or research computing service models.
• Experience coordinating synchronous and asynchronous technical training, video tutorials, and technical documentation.

Boston University offers an excellent benefits package including:

• Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays.
• Retirement: University-funded retirement plan with full vesting after 2 years of eligible service.
• Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Visit www.bu.edu/wellness/ and www.bu.edu/hr/part-time-employee-perks/ for more information.

Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, events arranged by the Fun Advisory Board (FAB), and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at 617-353-6474. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all.

Required Experience

Qualifications:

You Will Have:

• Experience developing or leading AI, machine learning, research computing, or advanced computing infrastructure strategy and roadmaps.
• Knowledge of GPU and accelerator capacity planning, containerized and AI workflows, data pipelines, model-serving needs, and MLOps tooling.
• Experience coordinating technical projects, incident management, service requests, and cross-functional support across technical and research groups.
• Experience supervising and developing staff, setting priorities and workload, managing service delivery, and supporting hiring and onboarding.
• Experience creating operational reports, analyzing business processes, and developing workflows for research computing or regulated research environments.

Bonus Qualifications:

• If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn.
• Experience supporting AI-intensive, grant-funded research or working directly with faculty, research computing champions, and research labs.
• Experience with Secure Research Enclaves, regulated research systems, chargeback models, or research computing service models.
• Experience coordinating synchronous and asynchronous technical training, video tutorials, and technical documentation.

Boston University offers an excellent benefits package including:

• Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays.
• Retirement: University-funded retirement plan with full vesting after 2 years of eligible service.
• Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Visit www.bu.edu/wellness/ and www.bu.edu/hr/part-time-employee-perks/ for more information.

Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, events arranged by the Fun Advisory Board (FAB), and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at 617-353-6474. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all.