Job Description
Job Summary
This Information Technology Internship position is based at the CITGO Corporate office in Houston and will support the Emerging Technologies team with a focus on Artificial Intelligence (AI). The intern will gain hands-on experience working with modern AI tools, Microsoft technologies, and Python-based solutions, including platforms such as ChatGPT, Microsoft Copilot, Azure OpenAI, and AI frameworks.
The role will involve contributing to the development of AI-driven applications, assisting in the communication of AI initiatives and learning events, and researching and evaluating emerging AI technologies for business use. The intern will collaborate with team members on innovative projects that enhance organizational capabilities and promote AI adoption across the company.
As the intern builds knowledge and familiarity with tools, systems, and processes, they will take on increasing responsibility, including supporting AI-related initiatives and assisting with tasks and requests aligned with team priorities.
Minimum Qualifications
Required:
- Must be currently enrolled in a Bachelor's or Graduate degree program in Computer Science, Management Information Systems, Data Analytics, or a related field.
- Bachelor’s degree candidates must have at least a sophomore standing or higher.
- Overall GPA of 3.0 or above (A=4.0) and must provide proof of GPA at time of hire to verify eligibility requirements.
- Working knowledge of Microsoft Office applications (Word, Excel, PowerPoint).
- Strong ability to maintain confidentiality and demonstrate a high level of professionalism.
- Effective communication skills with the ability to interact and collaborate with all levels of the organization.
- Basic experience or familiarity with Python and AI tools such as ChatGPT, Microsoft Copilot, or similar platforms.
Job Duties
- Assist in the development of AI-driven applications.
- General support for emerging technologies projects.
- Support AI Communication and Enablement.
- Research and Evaluate AI Technologies.
- Collaboration and Continuous Learning.