Principal Engineer, Autonomous AI Platform & Agents

Teradata; Richmond (VA); Hybrid; USD 169,000 - 254,000; Full time

Job summary

Teradata is seeking a principal engineer to lead innovation in autonomous AI agents within a enterprise AI platform. You will design foundational components for production-grade AI systems, from agent frameworks to memory management, while ensuring security and observability at scale.

You will collaborate with researchers, platform engineers, and product managers to define roadmaps, implement secure, scalable agent technologies, and drive enterprise-wide adoption of agentic capabilities.

Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.
• Deep interest in AI and large language models (LLMs) is a plus.
• 8+ years of experience in software architecture, backend systems, or AI infrastructure.

Responsibilities

• Architect and deploy production-grade AI agents and agentic frameworks.
• Design secure, scalable agent management, governance, and compliance.
• Build and iterate on agent-oriented platforms and memory contexts.
• Collaborate with researchers, platform engineers, and product managers.
• Ensure observability, safety, and performance in enterprise AI deployments.

Skills

AI architecture

Backend systems

Cloud-native

Distributed systems

LLMs

Education

Bachelor7s or Masters in CS/Engineering

Tools

Open claw

Calude AP

LangChain

AutoGen

CrewAI

Job description

Teradata is seeking a principal engineer to lead innovation in autonomous AI agents within a enterprise AI platform. You will design foundational components for production-grade AI systems, from agent frameworks to memory management, while ensuring security and observability at scale.

You will collaborate with researchers, platform engineers, and product managers to define roadmaps, implement secure, scalable agent technologies, and drive enterprise-wide adoption of agentic capabilities.