Senior AI Platform Architect

Teradata Corporation (SE); Jefferson City (MO); On-site; USD 200,000 - 299,000; Full time

Job summary

Teradata is seeking a Senior Staff AI Engineer to design and scale its enterprise AI platform. You will own architecture decisions and lead initiatives across LLM, retrieval, vector stores, and AI orchestration frameworks.

In this role you’ll collaborate with product and architecture leadership, drive cross-team architectural roadmaps, and raise the technical bar across multiple engineering teams while delivering production-grade AI systems.

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.
• Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.
• Proven experience designing and operating production systems with SQL and NoSQL data stores.

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.

Skills

12+ years experience

Java, Go, Python

Distributed systems

SQL/NoSQL data stores

Education

Bachelor’s degree in Computer Science or equivalent

Tools

LLMs

Embeddings

Vector databases

AI orchestration frameworks

Kubernetes

Docker

CI/CD

Job description

Teradata is seeking a Senior Staff AI Engineer to design and scale its enterprise AI platform. You will own architecture decisions and lead initiatives across LLM, retrieval, vector stores, and AI orchestration frameworks.

In this role you’ll collaborate with product and architecture leadership, drive cross-team architectural roadmaps, and raise the technical bar across multiple engineering teams while delivering production-grade AI systems.