Senior AI Platform Architect & Lead Engineer

Teradata Corporation (SE); Topeka (KS); Hybrid; USD 200,000 - 299,000; Full time

Job summary

Teradata seeks a Senior Staff AI Engineer to lead the design, evolution, and scaling of enterprise AI platforms. You will own architecture decisions, influence strategy, and guide complex initiatives spanning agentic AI, LLM platforms, retrieval augmented generation, vector stores, and developer-facing AI systems.

You will work autonomously with product and architecture leadership, raising the technical bar across multiple teams and shaping scalable, secure AI services for the software

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 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.
• Design and implement production-grade AI systems using LLMs, embeddings, vector databases, and agent-based architectures.
• Build scalable, secure platform services and APIs supporting AI workloads across the software development lifecycle.
• Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems.
• Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions.
• Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking.
• Act as a technical escalation point for complex system design, performance, and reliability challenges.
• Drive best practices for testing, observability, evaluation, and production readiness of AI systems.
• Identify systemic performance bottlenecks and lead efforts to optimize distributed systems and AI pipelines.
• Establish engineering standards that improve development velocity, quality, and operational resilience.
• Mentor Senior and Staff level engineers, providing guidance on architecture, design reviews, and technical decision making.

Skills

Java

Go

Python

Distributed systems

Cloud-native

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Kubernetes

Docker

CI/CD pipelines

Observability

Job description

Teradata seeks a Senior Staff AI Engineer to lead the design, evolution, and scaling of enterprise AI platforms. You will own architecture decisions, influence strategy, and guide complex initiatives spanning agentic AI, LLM platforms, retrieval augmented generation, vector stores, and developer-facing AI systems.

You will work autonomously with product and architecture leadership, raising the technical bar across multiple teams and shaping scalable, secure AI services for the software