Senior AI Platform Architect

Teradata Corporation (SE); Little Rock (AR); On-site; USD 200,000 - 299,000; Full time

Job summary

Teradata is seeking a Senior Staff AI Engineer to design, evolve, and scale enterprise AI platforms. You will own architecture level decisions, influence AI platform strategy, and lead complex initiatives spanning agentic AI, LLM platforms, retrieval augmented generation, vector stores, and developer-facing AI systems.

You will operate with autonomy, partner with product and architecture leadership, and raise the technical bar across multiple 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 powering Teradata’s AI platform.
• Own end-to-end architecture for agentic workflows, RAG pipelines, vector search, and AI orchestration.
• Drive technical strategy and architectural consistency across multiple engineering teams.
• Design and implement production-grade AI systems using LLMs, embeddings, and vector databases.
• Define guardrails for reliability, safety, governance, and cost control in enterprise AI systems.
• Mentor Senior and Staff engineers, raising the engineering bar through reviews and forums.

Skills

Java

Go

Python

Distributed systems

Backend services

Education

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

Tools

Kubernetes

Docker

CI/CD pipelines

Cloud platforms (AWS/GCP/Azure)

Job description

Teradata is seeking a Senior Staff AI Engineer to design, evolve, and scale enterprise AI platforms. You will own architecture level decisions, influence AI platform strategy, and lead complex initiatives spanning agentic AI, LLM platforms, retrieval augmented generation, vector stores, and developer-facing AI systems.

You will operate with autonomy, partner with product and architecture leadership, and raise the technical bar across multiple teams.