Senior Staff AI Architect for Enterprise LLM Platforms

Teradata Corporation (SE); Charleston (WV); On-site; USD 200,000 - 299,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) retirement savings plan

Time-off programs

Job summary

Teradata is seeking a Senior Staff AI Engineer to lead the design, evolution, and scaling of our enterprise AI platforms. You will own architecture level decisions and influence AI platform strategy across multiple teams.

You will mentor engineers, drive scalability and reliability, and work with product leadership to translate complex requirements into robust AI solutions at enterprise scale.

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 and native AI 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

Java

Go

Python

Distributed systems

SQL

NoSQL

Education

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

Tools

Kubernetes

Docker

CI/CD

Observability

Job description

Teradata is seeking a Senior Staff AI Engineer to lead the design, evolution, and scaling of our enterprise AI platforms. You will own architecture level decisions and influence AI platform strategy across multiple teams.

You will mentor engineers, drive scalability and reliability, and work with product leadership to translate complex requirements into robust AI solutions at enterprise scale.