Intern-IT, AI Team, Platform & Integration
About The Position
Working as part of the AI Readiness Team, this intern will support the platform readiness workstream for prioritized, high‑value AI use cases across business and scientific functions. The role focuses on evaluating current tools, environments, and integration pathways; identifying technical blockers; and implementing lightweight solutions that enable rapid experimentation and secure, scalable deployment needed to move use cases from “marginally ready” to “deployment‑ready.” The intern will collaborate with the AI Hub, enterprise architecture, security, and functional IT teams. The program culminates in a final presentation on accelerating AI Use Case readiness: Platform & Integration. This intern will be office-based in RTP, NC and will report to the Director, AI Automation and Integration.
Requirements
- Must be pursuing a Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field
- Must be at least a Junior in university at the time of application
- Required technical experience: one or more of Python, JavaScript, scripting, and REST APIs
- Required systems experience: Exposure to collaboration tools (Teams, SharePoint, Confluence, or similar)
- Understanding of: What integration points are (APIs, connectors, files) The concept of identity and access (logins, permissions, roles)
- Willingness and ability to learn simple automation or integration tasks with guidance
- Strong sense of accountability; ability to prioritize multiple tasks
- Excellent organizational skills and attention to detail
- Flexible and willing to support a variety of tasks for the Information Technology team
- Proactive, solution‑driven mindset; strong problem‑solving and communication skills
- Available to work full‑time at the office during the summer months (May–August)
Nice To Haves
- Prior project work automating workflows or building internal tools
- Exposure to cloud platform concepts learned through coursework (Azure/AWS/GCP fundamentals)
- Basic understanding of REST API endpoints or payload formats (JSON, XML)
- Familiarity with version control concepts
- Experience creating diagrams using tools such as Lucidchart, Miro, or VisioComfort navigating documentation repositories or wikis
Responsibilities
- Support assessments of AI Platform tool, compute, storage, and security, needs for priority use cases
- Learn to evaluate API availability, data connectors, and workflow orchestration requirements
- Review current environments to identify compatibility gaps
- Partner with security/IT to ensure identity, access, and compliance are addressed in designs
- Observe end‑to‑end integration of data sources with analytics/ML platforms
- Review logging/monitoring practices; propose improvements for reliability and observability
- Participate in building lightweight integrations or automations (e.g., REST calls, pipelines, CI/CD)
- Assist with environment configuration and documentation (runbooks, how‑to guides)
- Maintain a risk/issues register and help prioritize remediation actions
- Communicate platform findings with clear diagrams and recommendations
- Present a final readout with a pragmatic roadmap to close platform gaps
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
501-1,000 employees
