Senior AI Tools support Specialist

Our Company

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.

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.

This role directly supports that strategy by ensuring the reliability, accessibility, and optimal performance of the AI tool stack that powers Teradata’s internal AI capabilities.

The AI Tech Tool Stack Support Analyst / Specialist is responsible for the day-to-day operational support, configuration, monitoring, and troubleshooting of Teradata’s AI stack. This includes Teradata-native tools such as MCP Server, Teradata AI assistant and AI Microservices, as well as integrated third-party components like N8N, Jupyter Hub, Airflow, JAMS and LLM provider APIs (Anthropic Claude, Azure OpenAI, Amazon Bedrock, Google Gemini).

The analyst serves as a front-line technical resource for data scientists, Data engineers, and business analysts, ensuring they can effectively leverage the AI tool stack to move workloads from experimentation to production. This role operates within the framework of Teradata’s governance, security, and compliance standards, contributing to the organization’s ability to deliver trusted AI at scale.

Provide technical support for Teradata’s AI tools MCP Server. This involves assisting teams in building, deploying, and ensuring agents have proper access to Teradata tools, prompts, and data resources.

• MCP Server: Maintain and support the Model Context Protocol Server that provides agents with semantic access to enterprise data, curated prompts, and Teradata platform capabilities including SQL tools, DBA tools, Enterprise Feature Store, Quality Tools, vector store, RAG, and Clear Scape Analytics tools.
• Pre-built Agents: Support deployment and configuration of Teradata developed agents using workflow tools like n8n.

Support for integration between Teradata’s AI platform and external AI service providers and open-source tools that form part of the broader AI tool stack.

• LLM API Integrations: Configure and maintain connections to Azure OpenAI, Amazon Bedrock, and Google Gemini endpoints. Monitor API health, manage authentication credentials and secrets, and troubleshoot connectivity or compatibility issues. Track usage analytics and spend per project or model.
• Open-Source Ecosystem: Support the integration and maintenance of open-source tools within the AI Workbench ecosystem, including Airflow (workflow orchestration), Devpi (Python package management).

Serve as the primary point of contact for internal users and customer-facing teams who rely on the AI tool stack. Provide responsive, knowledgeable support that minimizes friction and accelerates AI adoption.

• Ticket Resolution: Resolve support tickets related to environment setup and configuration, library and dependency conflicts, notebook failures, data access and permissions, and agent workflow failures.
• Documentation: Create and maintain runbooks, FAQs, troubleshooting guides, and knowledge base articles specific to Teradata’s AI tool stack. Document known issues, workarounds, and best…