Teradata

www.teradata.com

1 Job

10,236 Employees

About the Company

At Teradata, we believe that people thrive when empowered with better information. Our best-in-class cloud analytics and data platform delivers the harmonized data and trusted AI/ML organizations need for confident decision-making, faster innovation, and impactful business results.  See how at Teradata.com. 

Listed Jobs

Company Name: Teradata
Job Title: AI Engineer
Job Description: **Job Title:** AI Engineer **Role Summary:** Design, develop, and test secure, scalable frameworks for autonomous AI agents on a cloud‑native platform. Build intelligent automation and conversational capabilities using generative AI and agentic technologies. Integrate and maintain MCP server runtimes, enable multi‑agent collaboration, and drive enterprise adoption through robust, containerized deployments. **Expectations:** - Deliver high‑quality, production‑ready AI infrastructure. - Collaborate across research, engineering, and product teams. - Ensure safety, reliability, and extensibility of autonomous systems. - Mentor teammates and maintain clear documentation. **Key Responsibilities:** - Design and implement frameworks for autonomous AI agents. - Develop intelligent automation and conversational interfaces with GenAI/Agentic AI. - Build and maintain MCP server integrations for efficient runtime execution. - Create infrastructure for multi‑agent collaboration, memory/context management, and extensibility. - Deploy scalable solutions using Docker and Kubernetes. - Utilize AI‑assisted development tools (e.g., GitHub Copilot, Claude, GPT) to improve productivity. - Collaborate with AI researchers, platform engineers, and product managers to bring agentic capabilities to production. - Promote enterprise‑wide AI agent adoption through easy integration and safe execution. **Required Skills:** - Proficiency in Python; working knowledge of Java, Go, or C++. - Experience with agent‑based architectures, LLM integration, and prompt engineering. - Hands‑on experience with MCP servers, vector databases, and Retrieval‑Augmented Generation (RAG). - Strong background in backend service development, API design, and distributed systems. - Familiarity with SQL database engines, schemas, and indexing. - Expertise in containerization (Docker, Kubernetes). - Strong analytical, problem‑solving, and communication abilities. - Ability to mentor and work collaboratively in a cross‑functional environment. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. - Minimum 2 years of software development, backend systems, or AI infrastructure experience.

San diego, United states

Hybrid

Junior

16-03-2026