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Senior AI Engineer, Agentic Systems

Teradata Stany Zjednoczone ; Stany Zjednoczone (cały kraj)
Umowa o pracę Pełny etat Praca zdalna

Data publikacji: 06.08.2026

At Teradata, we believe that people thrive when empowered with better information. In this role you will build the agentic systems that power Teradata's next generation of AI-driven analytics — intelligent agents that reason over enterprise data, invoke Vantage capabilities as tools, and complete multi-step analytical tasks autonomously.

Responsibilities

Build the agentic systems that power Teradata's next generation of AI-driven analytics; Design and implement agent skills and plugins that extend the Teradata agent harness; Build evaluation frameworks to measure agent quality; Contribute to the reliability and performance of agent workflows running on Vantage; Enable customers to move from asking Teradata questions to delegating analytical tasks to AI agents

Requirements

3–6 years of software engineering experience with at least 2 years building agentic AI systems in production — not just RAG pipelines or chatbots; Hands-on experience implementing agent skills, plugins, or tools that extend an agent harness (Claude Code, OpenCode, Codex, OpenClaw, LangGraph, or equivalent); Proficiency in Python; Understanding of agent planning loops, tool-calling protocols, function calling APIs (OpenAI, Anthropic, or Google format), and prompt engineering for reliability

Nice to have

Go experience; Open-source contributions to agent frameworks or LLM tooling; Experience evaluating and benchmarking agentic systems: building evals, golden datasets, and automated regression testing for agent behaviors; Familiarity with Teradata Vantage, SQL query optimization, or columnar analytics — or with a competing platform (Snowflake, Databricks, BigQuery) at depth; Experience with vector databases, embedding models, and hybrid retrieval for agent memory and context management; Strong written communication — you can explain a complex agent architecture in a document that a PM and a customer engineer can both understand; A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things

Benefits

People-first culture; Flexible work model; Focus on well-being; Anti-racist company; Healthcare; Life and disability insurance; Retirement savings; 401(k)-retirement savings plan; Time-off programs
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