Senior AI Agentic Engineer — Observability & Automation

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

Job summary

Teradata seeks an experienced software engineer to lead the design and development of AI-native agentic workflows across its AI Platform. You will architect AI agents for observability, automating root cause analysis, anomaly detection, and productivity optimization.

You will design workflows spanning telemetry pipelines, application stacks, and cloud infrastructure, building tooling to accelerate velocity and reduce toil, while applying LLMs and reasoning frameworks to complex diagnostics.

Qualifications

• 8+ years of experience in software engineering with deep exposure to AI/ML systems in production environments.
• Proven experience building AI agents, LLM-driven systems, or autonomous workflows—not just consuming AI APIs.
• Strong programming expertise in Python (required) and at least one of Java or Go.
• Experience working with distributed systems, telemetry data, and observability architectures.
• Foundational AI skills, including prompt engineering, model evaluation, agent orchestration, reasoning frameworks.

Responsibilities

• Lead the design and development of AI-native agentic workflows that enhance engineering productivity and observability across Teradata’s AI Platform.
• Architect and build AI agents for observability, automated root cause analysis, anomaly detection, and engineering productivity optimization.
• Design agentic workflows that integrate across telemetry pipelines, application stacks, and cloud infrastructure.
• Develop AI-driven tooling to accelerate development velocity, reduce operational toil, and improve MTTR.
• Apply LLMs, reasoning frameworks, and advanced AI patterns to automate complex debugging and system diagnostics.
• Drive AI-native development practices across apps, tooling, and platform engineering.
• Partner across engineering teams to embed intelligent automation into CI/CD, DevOps, and support workflows.
• Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce.
• Your work will directly shape how Teradata builds, monitors, and operates its AI-powered platform.

Skills

Python

Java

Go

Distributed systems

Observability

AI/ML systems

Prompt engineering

Agent orchestration

LLMs in production

Telemetry

Tools

OpenTelemetry

Prometheus

Job description

Teradata seeks an experienced software engineer to lead the design and development of AI-native agentic workflows across its AI Platform. You will architect AI agents for observability, automating root cause analysis, anomaly detection, and productivity optimization.

You will design workflows spanning telemetry pipelines, application stacks, and cloud infrastructure, building tooling to accelerate velocity and reduce toil, while applying LLMs and reasoning frameworks to complex diagnostics.