Senior AI Platform Architect

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

Job summary

Teradata is seeking a Senior Staff AI Engineer to lead the design and scaling of enterprise AI platforms. You will own architecture decisions, influence platform strategy, and guide initiatives across agentic AI, RAG, vector stores, and developer-facing AI systems.

You will mentor engineers and shape technical standards while partnering with product and architecture leadership to raise the bar across teams.

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.
• 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

Java

Go

Python

Distributed systems

Backend services

Cloud native architectures

Education

Bachelor's degree in Computer Science or Engineering

Tools

SQL

NoSQL

LLMs

Vector databases

Kubernetes

Docker

CI/CD

Job description

Teradata is seeking a Senior Staff AI Engineer to lead the design and scaling of enterprise AI platforms. You will own architecture decisions, influence platform strategy, and guide initiatives across agentic AI, RAG, vector stores, and developer-facing AI systems.

You will mentor engineers and shape technical standards while partnering with product and architecture leadership to raise the bar across teams.