Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

About the Role

The Change Control Automation & AI Enablement Intern will support the development of tooling and agentic workflows that automate key stages of Teradata’s global system change management lifecycle. You’ll join our System Change Automation Development team in India and work closely with a fellow intern on the Change Control Delivery team within a structured engineering environment with exposure to ServiceNow, internal change platforms, and Teradata’s broader AI Factory infrastructure.

What You’ll Work On

Your project will be shaped around team priorities and your interests and strengths. Work may span:

• Scripting and automation tooling for change management workflows.
• Workflow integration with ServiceNow and internal change platforms.
• Prototyping AI-assisted components, such as intelligent scheduling, anomaly detection, and automated documentation generation.
• Participating in design, testing, and code reviews alongside experienced engineers.

You’ll Gain Experience With

Python, agentic AI frameworks, REST APIs, ServiceNow, Git and CI/CD, Linux, and enterprise-scale software engineering practices.

What We’re Looking For

Required

• Pursuing a bachelor’s degree in Computer Science Engineering (including AI/ML or Data Science) or a related discipline.
• Strong programming fundamentals, with a good grasp of data structures and algorithms.
• Familiarity with Python, Git, and SQL (PyTest a plus).
• Strong analytical and problem-solving skills, with learning agility.
• Clear written and verbal communication, and the ability to collaborate across teams.

Preferred

• Exposure to AI/ML concepts, Generative AI, or LLMs.
• Familiarity with Linux, scripting, or cloud technologies.
• Interest in DevOps, Site Reliability Engineering, or enterprise automation.