Staff AI Engineer

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.

With Teradata, organizations can provide agents with full context for impact when it matters.

Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach.

Teradata delivers real business value with AI.

Shape the Way the World Understands Data Teradata is building the next generation of AI-native analytics, enabling customers to deploy production-grade Generative AI systems directly where enterprise data lives .

We are looking for a Staff AI Engineer to play a key role in designing and building Teradata’s vector store and retrieval infrastructure , powering RAG, multimodal AI, agentic workflows, and semantic search at enterprise scale.

This role is ideal for an engineer who thrives at the intersection of LLMs, information retrieval, and distributed systems , and wants to work on core platform capabilities , not just application demos.

You will: Own the architecture and technical direction of Teradata’s vector store and retrieval stack.

Define design patterns and best practices for RAG, semantic search, and agentic AI systems .

Lead technical design reviews and influence cross-team architectural decisions.

Identify scalability, performance, and reliability risks and drive solutions proactively.

Design agentic AI patterns, including tool calling, planning, memory, and orchestration.

Design and implement core vector store capabilities , including indexing strategies, storage layouts, retrieval algorithms, and APIs.

Build and maintain RAG evaluation frameworks , including relevance, faithfulness, accuracy, and cost metrics.

Collaborate with product, research, and platform teams to translate customer use cases into scalable features.

Benchmark Teradata’s vector store and RAG capabilities against industry alternatives (e.g., cloud and open-source solutions).