Senior Staff AI Engineer - AI Platform Architect

Teradata Corporation (SE); Nashville (TN); On-site; USD 200,000 - 299,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement plans

Time-off programs

Job summary

Teradata Corporation in the United States seeks a Senior Staff AI Engineer to lead the design and evolution of enterprise AI platforms and to own architecture-level decisions. You will influence AI platform strategy and guide initiatives across agentic AI, LLM platforms, RAG, vector stores, and developer-facing AI systems.

You will work with product and architecture leadership, raising the technical bar across multiple teams while ensuring reliability, governance, and scalable performance for

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 12+ years of experience building backend services, distributed systems, or data/AI platforms.
• Strong proficiency in Java, Go, or Python, with experience building largescale services.
• Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.

Responsibilities

• 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.
• Drive technical strategy and architectural consistency across multiple engineering teams.
• Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures.

Skills

Java/Go/Python

Distributed systems

Cloud-native

SQL/NoSQL

Education

Bachelor's degree

Tools

Kubernetes

Docker

CI/CD pipelines

Observability tooling

Job description

Teradata Corporation in the United States seeks a Senior Staff AI Engineer to lead the design and evolution of enterprise AI platforms and to own architecture-level decisions. You will influence AI platform strategy and guide initiatives across agentic AI, LLM platforms, RAG, vector stores, and developer-facing AI systems.

You will work with product and architecture leadership, raising the technical bar across multiple teams while ensuring reliability, governance, and scalable performance for