Our company:

Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What you will do:

In this role you will...

• Build and optimize AI and LLM-based agents, including runtime components for orchestration, data retrieval, and execution across distributed environments.
• Leverage Retrieval-Augmented Generation (RAG) techniques, vector stores, and NLP pipelines to enable intelligent automation and conversational capabilities.
• Work with MCP servers, Python, and containerized deployments (Docker, Kubernetes) to deliver resilient, observable, and scalable cloud-native services.
• Employ AI-assisted development tools (e.g., GitHub Copilot, MCP-integrated IDEs, LLMs) to improve code quality, productivity, and testing efficiency.
• Collaborate with product owners, architects, and cross-functional teams to deliver new features with a focus on scalability, performance, and usability.
• Foster a positive and collaborative team environment, maintaining open communication, mutual respect, and shared ownership of outcomes.

Who you will work with:

You will be part of Teradata’s global engineering organization, building the core technologies that power VantageCloud, our unified data and AI platform. The team works at the intersection of cloud computing, advanced analytics, and AI-driven automation, enabling enterprises to manage and analyze data seamlessly across hybrid and multi-cloud environments. Join us in shaping the future of data and intelligence—solving some of the most complex challenges in scalability, performance, and interoperability, and helping the world’s leading companies turn data into actionable insights and innovation. You can learn more at

https://www.teradata.com/platform/vantagecloud, https://www.teradata.com/platform/data-fabric

What makes you a qualified candidate:

• At least 5+ years of experience in building robust software applications and 2+ years designing and deploying systems on public cloud platforms such as AWS, Azure, or Google Cloud.
• Strong proficiency in Python, and experience with one or more additional languages such as Java, Go, or C++.
• Experience in agent development, runtime systems, or LLM-based
• Familiarity with vector databases, RAG architecture, prompt engineering, and NLP
• Solid understanding of containerization, CI/CD pipelines, and operational monitoring for cloud- based systems.
• Ability to work effectively in cross-functional teams and contribute to a positive team

What you will bring:

• Strong analytical and problem-solving
• Experience with Linux, Shell scripting, SQL, Git, and
• Familiarity with multiple public cloud
• Understanding of DevOps and agile software development
• Experience with Teradata VantageCloud

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