Senior AI Agentic Engineer: Observability & Automation

Teradata Corporation (SE); Bismarck (ND); On-site; USD 217,000 - 326,000; Full time

Job summary

Teradata Corporation (SE) is seeking a Senior AI Platform Engineer to design and deploy AI-native agentic workflows across the AI Platform. You will develop AI agents for observability, automated root cause analysis, and productivity gains, embedding intelligent automation into CI/CD, DevOps, and support workflows.

The role emphasizes building AI-driven tooling, leveraging LLMs, and applying reasoning frameworks to improve engineering efficiency and system reliability across Teradata’s

Qualifications

• 8+ years of software engineering experience with AI/ML in production.
• Proven experience building AI agents, LLM-driven systems, or autonomous workflows.
• Strong programming in Python and at least one of Java or Go.
• Experience with distributed systems, telemetry data, and observability architectures.
• Foundational AI skills including prompt engineering and agent orchestration.

Responsibilities

• Lead design and development of AI-native agentic workflows across Teradata’s AI Platform.
• Architect and build AI agents for observability, root cause analysis, anomaly detection, and engineering productivity.
• Design agentic workflows that integrate across telemetry pipelines, apps and cloud infrastructure.
• Develop AI-driven tooling to accelerate development velocity and reduce operational toil.
• Apply LLMs and reasoning frameworks to automate complex debugging and system diagnostics.

Skills

Python

Java

Go

LLM-driven systems

AI/ML in production

Distributed systems

Observability

Tools

OpenTelemetry

Prometheus

Job description

Teradata Corporation (SE) is seeking a Senior AI Platform Engineer to design and deploy AI-native agentic workflows across the AI Platform. You will develop AI agents for observability, automated root cause analysis, and productivity gains, embedding intelligent automation into CI/CD, DevOps, and support workflows.

The role emphasizes building AI-driven tooling, leveraging LLMs, and applying reasoning frameworks to improve engineering efficiency and system reliability across Teradata’s