AI Engineering Intern

About the Internship

Our exciting summer internship program lasts 10-12 weeks, starting in May/June and concluding in August/September. Experience a fast-paced, flexible, and enjoyable work environment where you'll tackle meaningful projects while facing new challenges every day.

What You'll Be Working On

At Teradata, we are transforming the way enterprises manage data. Our innovative ClearScape Analytics platform and cutting-edge Enterprise Vector Store are revolutionizing how some of the world's largest organizations harness complex data for unprecedented value. In the thrilling domain of Artificial Intelligence, particularly within autonomous and agentic systems, we are pushing the envelope further.

As a member of our AI engineering team, your contributions will be pivotal to designing and deploying advanced AI agents that seamlessly integrate with essential business operations, translating data into actionable insights and measurable results.

You will collaborate with a talented team of AI researchers, engineers, and data scientists to tackle complex challenges in AI and enterprise software—from scalable multi-agent systems to fine-tuning large language model applications, real-time monitoring, and closed-loop retraining systems. If you are excited about developing intelligent systems that are robust, observable, and production-ready, this role offers you the chance to help shape the future of enterprise AI.

Collaborate with Exceptional Colleagues

Imagine working alongside some of the brightest minds in the industry, all dedicated to diversity, equity, and inclusion as foundational values. You will be part of a cohesive team focused on delivering high-quality AI/ML functionalities within the Teradata Vantage platform, with your insights directly influencing the evolution of our intelligent data solutions.

Your supervisor will be the inspiring Sr. Manager of Software Engineering, who is committed to supporting your growth and encouraging your input.

What Makes You a Great Fit

• Experience with modern data platforms such as Teradata, Snowflake, or Databricks.
• A passion for staying updated on AI research, especially in reasoning, planning, and autonomous systems.
• A proficient full stack engineer who actively codes and oversees systems from start to finish.
• Ability to build intuitive UIs with user-friendly natural language interfaces for seamless interaction with data platforms.
• Strong background in engineering (Python/Java/Golang, API integration, backend frameworks).
• Excellent system design skills with a keen understanding of distributed systems.
• A meticulous focus on reliability and ensuring AI systems behave predictably when necessary.
• Hands-on experience with Machine Learning and Deep Learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc.) and orchestration tools.
• Knowledge of AI observability tools and practices (e.g., logging, monitoring, metrics for AI agents or ML models).
• Solid understanding of model performance monitoring, drift detection, and responsible AI principles.

Your Background

• A Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• A genuine enthusiasm for AI and large language models (LLMs) is a significant asset.
• Proficiency in UI/UX development using JavaScript frameworks (React.js, Vue.js, Angular) and CSS libraries (Bootstrap, Material-UI).
• Experience in designing, developing, and deploying agentic systems integrated into data platforms.
• 3+ years of experience in software architecture, backend systems, or AI infrastructure.
• Strong knowledge of LLMs, reinforcement learning, or cognitive architectures is desirable.
• A commitment to building safe and human-aligned autonomous systems.
• Experience in software development in Python, Go, or Java.
• Familiarity with backend service development, APIs, and distributed systems.
• An interest in LLMs, autonomous agents, or AI tools.
• Experience working in containerized environments (Docker, Kubernetes) and CI/CD pipelines.
• Capability to create dashboards and metrics pipelines to track key indicators of AI systems.
• Integrating observability tooling with LLM-based workflows and agent pipelines.
• Bonus: Contributions to open-source agentic frameworks or research experience.

Why You'll Love Working at Teradata

We prioritize a people-first culture, believing our team members are vital to our success. Enjoy a flexible work model that empowers you to make decisions about how, when, and where you work. We promote well-being, supporting your ability to thrive personally and professionally. Our commitment to fostering an inclusive environment celebrates the diversity of our employees.

Teradata is proud to be an equal opportunity employer, promoting diversity and inclusion. All qualified candidates are encouraged to apply.

Compensation includes competitive pay rates based on geographic location, job-related skills, and experiences. Employees in this role may also participate in benefits programs, including healthcare, 401(k), and time-off plans, with specifics provided during the hiring process.