Fall 2026 Internship - Artificial Intelligence - Software Modernization
"RJ Lee Group, Inc"
·Aug 27, 2026
- Location
- Pittsburgh, PA
- Workplace
- Remote, Onsite
- Type
- Internship
- Department
- IT
- Seniority
- Internship
- Experience
- 2+ years
- Closing date
- Today
- Source
- ApplyToJob
Description
For Fall 2026, only candidates physically located in the Pittsburgh, PA metro region will be considered. This is not a remote position.
Position Summary
The AI – Software Modernization Internship is an exciting opportunity for students passionate about emerging technology to help transform RJ Lee Group's internal business ecosystem. Interns will work on projects that integrate AI capabilities into existing workflows, helping to automate and streamline core business and scientific processes.
Key Responsibilities
Assist in identifying and scoping opportunities for AI/ML integration within existing business and laboratory software systems
Support development and testing of AI-assisted tools, automation scripts, or workflow enhancements
Research and evaluate modern AI frameworks, APIs, and platforms for practical applicability
Collaborate with cross-functional teams including scientists, IT, and operations to implement process improvements
Document findings, workflows, and project outcomes for internal use
Qualifications
Currently pursuing a degree in Computer Science, Data Science, AI/ML, or a related field (at least 2 years completed)
Foundational understanding of machine learning concepts and/or experience with AI tools and frameworks (e.g., Python, TensorFlow, OpenAI APIs, LangChain, etc.)
Intellectual curiosity and enthusiasm for applying AI to real-world business problems
Strong communication skills to bridge technical and non-technical stakeholders
Must be able to work onsite during the internship period.
Core Competencies
Attention to Detail
Confidentiality & Integrity
Organization & Time Management
Communication & Professionalism
Adaptability & Change Management
Data Accuracy & Compliance
Internship Duration
Start Date: September/October 2026
End Date: End of 2026 (flexible based on academic schedules)
Full-time or part-time schedule options depending on department needs