Senior AI Platform Architect

Teradata; Annapolis (MD); On-site; USD 169,000 - 254,000; Full time

Job summary

Teradata is seeking a Staff AI Engineer to lead the design, evolution, and scaling of enterprise AI platforms. You will own architecture decisions across agentic AI, RAG, vector stores, and AI orchestration frameworks, partnering with product and architecture leaders to raise the technical bar.

You will mentor senior engineers, influence roadmaps, and drive reliability, governance, and observability in cloud-native environments.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 8+ years of experience building backend services, distributed systems, or data/AI platforms.
• Strong proficiency in Java, Go, or Python, with experience building large-scale 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 design and evolution of large-scale distributed AI systems powering Teradata’s AI platform.
• Own end-to-end architecture for agentic workflows, RAG pipelines, vector search, and AI orchestration frameworks.
• Partner with product and architecture leaders to translate requirements into scalable AI solutions.
• Mentor engineers and raise the engineering bar through reviews and design forums.

Skills

Backend systems

Distributed systems

Cloud native architectures

Java/Go/Python

Large-scale services

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent

Tools

Kubernetes

Docker

CI/CD pipelines

SQL

NoSQL

Job description

Teradata is seeking a Staff AI Engineer to lead the design, evolution, and scaling of enterprise AI platforms. You will own architecture decisions across agentic AI, RAG, vector stores, and AI orchestration frameworks, partnering with product and architecture leaders to raise the technical bar.

You will mentor senior engineers, influence roadmaps, and drive reliability, governance, and observability in cloud-native environments.