Staff AI Platform Architect

Teradata; San Diego (CA); Híbrido; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work model

Inclusive culture

Career growth opportunities

Descripción de la vacante

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

You will work with product and architecture leadership to raise the technical bar across multiple teams. You will mentor engineers, shape roadmaps, and ensure production readiness, security, and cost controls in enterprise AI systems.

Formación

• 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.

Responsabilidades

• Lead the design and evolution of largescale, distributed AI systems powering Teradata’s AI platform and products.
• Own end-to-end architecture for agentic AI, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.
• Drive technical strategy and architectural consistency across engineering teams.
• Partner with product, architecture, and cloud platform teams to translate business requirements into scalable AI solutions.

Conocimientos

Backend services

Distributed systems

Data/AI platforms

Java

Go

Python

Educación

Bachelor’s degree in Computer Science or Engineering

Herramientas

Kubernetes

Docker

CI/CD pipelines

SQL

NoSQL

Cloud platforms (AWS/Azure/GCP)

Descripción del empleo

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

You will work with product and architecture leadership to raise the technical bar across multiple teams. You will mentor engineers, shape roadmaps, and ensure production readiness, security, and cost controls in enterprise AI systems.