AI context engine and governance platform for enterprise autonomous agents
Teradata operates as a data and AI infrastructure company serving large enterprises, with a tech stack centered on cloud platforms (AWS, Azure, GCP) and an active push into agentic AI systems. The organization is engineering-heavy (296 open engineering roles) and actively adopting LangChain, CrewAI, and Model Context Protocol — core frameworks for building AI agents. Current projects span AI marketplace development, RAG pipelines, text-to-SQL agents, and multi-tenant cloud-native platforms, signaling a shift from traditional analytics toward production AI agent infrastructure.
Notable leadership hires: Account Director, Chief Information Officer, Sales Director, CPQ Functional Lead
Teradata, founded in 1979 and headquartered in San Diego, is a publicly traded enterprise software company with over 10,000 employees. The company positions itself as a context and governance layer for AI agents deployed across hybrid cloud, on-premises, and multi-cloud environments. The product portfolio includes the Teradata Autonomous AI and Knowledge platform, ClearScape Analytics, and Vantage Cloud Platform. Engineering and product teams are scaling aggressively across 22 countries, with notable hiring in India, Poland, the United States, and the UK. Current focus areas include real-time monitoring, data governance compliance, system performance optimization, and operational risk management.
LangChain, CrewAI, AutoGen, LangGraph, Semantic Kernel, Model Context Protocol, and AWS Bedrock. The company is actively adopting these frameworks for agentic AI development and RAG pipelines.
San Diego, California. The company is a public enterprise software firm founded in 1979 with over 10,000 employees globally.
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