Jobs at TeradataAster - Page 2

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes.

• Lead the design and evolution of largescale, distributed AI systems that power Teradata’s AI platform and AI native products.
• Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.

• Work in a team of highly skilled engineers to perform software engineering duties such as: problem analysis, code review, design, develop, test, troubleshoot, document and support.
• Collaborate with cross-functional teams to continuously improve test strategies and processes.

• Lead the design and development of AI-native agentic workflows that enhance engineering productivity, observability intelligence, and end-to-end operational excellence across Teradata’s AI Platform.
• This is a Senior Individual Contributor role focused on building and deploying intelligent agents—not just integrating automation tools, but architecting AI-driven systems that reason, analyze, and act across telemetry, applications, and workflows.

• Datacenter power architecture
• Thermal and cooling strategies

• We’re seeking a hands-on, deeply technical Principal Engineer to lead innovation in the Agentic AI space.
• You bring proven experience in the design, development, and deployment of intelligent agents that can reason, plan, and act autonomously—and critically, you’ve done so securely and responsibly at scale.

• Establish and govern system-level power architecture standards ensuring global compliance, resiliency, and manufacturability.
• Influence platform roadmaps through industry awareness and technical insight.

• Architect, design, and evolve scalable, reliable, and fault-tolerant networking software for high-speed, low-latency interconnects, delivering predictable performance across large-scale MPP systems.
• Evaluate and drive adoption of emerging technologies across operating systems, high-performance networking, adapters, DPUs, accelerators, and interconnect fabrics.