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At 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.
Job Responsibility:
Working within a team, design, implement, and test secure, scalable frameworks for autonomous AI agents
Build intelligent automation and conversational capabilities using state-of-the-art GenAI and Agentic AI products
Develop and maintain MCP server integrations for robust and efficient runtime execution
Collaborate with AI researchers, platform and database engineers, and product managers to bring cutting-edge agentic capabilities to production
Build foundational infrastructure and tools for multi-agent collaboration, memory/context management, and extensibility
Drive enterprise-wide adoption of AI agents through easy integration and safe execution
Leverage containerization technologies (Docker, Kubernetes) for scalable, resilient deployments
Utilize AI-assisted development tools (e.g., GitHub Copilot, Claude, GPT, MCP-integrated IDEs) to enhance productivity and code quality
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
2+ years of experience in software development, backend systems, or AI infrastructure, with strong proficiency in Python and working knowledge of additional languages such as Java, Go, and C++
Experience in building advanced agent-based architectures and runtime components for next-generation AI and LLM-driven solutions
Ability to work with product leaders, architects, and platform teams to design, implement, and test our next-generation agent platform
Experience / expertise in agent development, LLM integration, prompt engineering, and runtime systems
Experience / expertise in MCP servers, vector databases, Retrieval-Augmented Generation (RAG) architecture, and NLP frameworks
Experience in building autonomous agents, and leveraging AI tooling to create intelligent systems
Background in backend service development, API design, and building scalable distributed systems
Familiarity / experience with SQL Database Engines and concepts, specifically schemas and indexing
Strong analytical and problem-solving skills in complex, distributed environments
Excellent communication and documentation skills
ability to mentor and collaborate effectively
Passion for building safe, human-aligned autonomous systems
Knowledge of open-source tools and technologies, and how to extend them for innovative solutions
What we offer:
We prioritize a people-first culture
We embrace a flexible work model
We focus on well-being
We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are