Senior AI Platform Architect

Teradata; Bismarck (ND); On-site; USD 169,000 - 254,000; Full time

Benefits offered by this job

Health care

Life and disability insurance

Retirement savings

Time-off programs

Job summary

Teradata seeks a Staff AI Engineer to design, evolve, and scale enterprise AI platforms. You will own architecture decisions, influence platform strategy, and lead initiatives across agentic AI, LLM platforms, RAG, and vector stores.

Collaboration with product and architecture leaders is essential to raise the technical bar across teams. You will mentor engineers, drive reliability, and shape guardrails for cost control and governance in enterprise AI systems while maintaining high standards of

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 largescale services.
• Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.

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 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

Education

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

Tools

Kubernetes

Docker

CI/CD pipelines

Job description

Teradata seeks a Staff AI Engineer to design, evolve, and scale enterprise AI platforms. You will own architecture decisions, influence platform strategy, and lead initiatives across agentic AI, LLM platforms, RAG, and vector stores.

Collaboration with product and architecture leaders is essential to raise the technical bar across teams. You will mentor engineers, drive reliability, and shape guardrails for cost control and governance in enterprise AI systems while maintaining high standards of