Senior AI Platform Architect

Teradata; Phoenix (AZ); On-site; USD 169,000 - 254,000; Full time

Job summary

Teradata seeks a Staff AI Engineer to lead architecture decisions for enterprise AI platforms and capabilities. You will own design directions, influence platform strategy, and guide multiple teams across agentic AI, RAG, vector stores, and AI orchestration frameworks.

You will work with product and architecture leadership, driving high autonomy and raising the engineering bar with a focus on reliability, performance, and governance across AI pipelines.

Qualifications

• 8+ 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 powering 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

Backend systems

Java Go Python

Distributed design

SQL NoSQL

Education

Bachelor’s degree in CS or related

Tools

Kubernetes

Docker

CI/CD

Job description

Teradata seeks a Staff AI Engineer to lead architecture decisions for enterprise AI platforms and capabilities. You will own design directions, influence platform strategy, and guide multiple teams across agentic AI, RAG, vector stores, and AI orchestration frameworks.

You will work with product and architecture leadership, driving high autonomy and raising the engineering bar with a focus on reliability, performance, and governance across AI pipelines.