Research Computing - AI Engagement Specialist

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Work Arrangement:
Hybrid (On-Site and Remote mix)

Requisition Number: 271044

Regular or Temporary:
Regular

Location:

Durham, NC, US, 27710

Date:
Oct 17, 2026

At Duke, you'll join a community dedicated to advancing research, discovery, and innovation. Research Computing provides the advanced computing infrastructure, expertise, and services that empower researchers across disciplines to tackle complex challenges and accelerate scientific breakthroughs.

We are seeking a Senior Analyst IT, AI Engagement Specialist in Research Computing to help faculty, research staff, postdoctoral scholars, and students use, adapt, and build with AI tools in their research workflows. As a trusted advisor, educator, and hands-on collaborator, you will combine technical expertise with strong communication and teaching skills to translate emerging AI capabilities into meaningful research outcomes.

Working closely with AI Engineers, Data Engineers, and Research Computing teams, this role ensures that AI capabilities are accessible, practical, and aligned with real research needs, complementing platform and application development efforts by focusing on adoption, usability, and impact.

• Provide one-on-one consultations, embedded support, AI support office hours to help research groups adopt AI-enabled workflows.
• Help researchers use, adapt, and build with AI tools, including large language models (LLMs), copilots, APIs, notebooks, Model Context Protocol (MCP) integrations, and emerging AI technologies for coding, data analysis, documentation, and scientific discovery.
• Translate research objectives into practical AI-assisted workflows using high-performance computing (HPC), cloud services, and data platforms.

• Collaborate with Research Computing and AI engineering teams to develop, improve, secure, and support AI services, including LLM services, shared training datasets, and utilities for common research tasks.
• Identify reusable tools and components from research engagements and contribute them to a centralized tools repository.
• Create clear, accessible documentation, tutorials, and example workflows that support AI adoption across disciplines and research use cases.
• Contribute to institutional guidance on responsible and effective AI use in research, including reproducibility, data handling, and model limitations.

• Serve as a primary liaison between researchers and OIT's AI, data engineering, and Research Computing teams, identifying opportunities where AI can accelerate research.
• Facilitate collaboration with Duke data science and research support groups, including Duke Libraries and the Office of Research, connecting researchers with subject matter experts and best-practice guidance.
• Support workshops and other institutional AI education efforts.
• Gather researcher feedback to inform AI Platfroms, services, tools, and support offerings, and align engagement activities with institutional support models and service tiers.

• Bachelor's degree in a quantitative, scientific, computational, or related field.
• Strong proficiency in scientific data management, programming and analysis using languages such as Python, MATLAB, R, C, or C++, with experience supporting, using, or developing computational research workflows.
• Experience working in high-performance computing (HPC) environments.
• Familiarity with a broad range…