Principal AI Agent Engineer — Observability & Automation

Teradata; Atlanta (GA); On-site; USD 180,000 - 230,000; Full time

Job summary

Teradata seeks a Senior Individual Contributor to design and build AI-native agentic workflows across its AI Platform. You will architect AI-driven systems that reason, analyze, and act across telemetry, applications, and cloud infrastructure.

You will partner with engineering teams to embed intelligent automation into CI/CD, DevOps, and support workflows, shaping a scalable, observability-focused AI platform.

Qualifications

• 8+ years of software engineering experience with production AI/ML systems.
• Experience building AI agents, LL M-driven systems, or autonomous workflows.
• Strong Python programming and at least one of Java or Go.

Responsibilities

• Lead design and development of AI-native agentic workflows to enhance engineering productivity and observability.
• Architect and deploy AI-driven agents for telemetry, applications and workflows across the platform.
• Design agentic workflows across telemetry pipelines, app stacks, and cloud infrastructure.
• Develop AI tooling to accelerate velocity and reduce MTTR.
• Apply LLMs and reasoning frameworks to automate complex debugging and diagnostics.
• Drive AI-native development practices across apps and platform engineering.
• Partner with engineering teams to embed automation into CI/CD, DevOps, and support workflows.
• Explore AI applications to boost productivity and impact across the workforce.

Skills

AI/ML systems

Python

Java

Go

Distributed systems

Observability

Job description

Teradata seeks a Senior Individual Contributor to design and build AI-native agentic workflows across its AI Platform. You will architect AI-driven systems that reason, analyze, and act across telemetry, applications, and cloud infrastructure.

You will partner with engineering teams to embed intelligent automation into CI/CD, DevOps, and support workflows, shaping a scalable, observability-focused AI platform.