Senior AI Agentic Engineer, Observability & Automation

Teradata Corporation (SE); Santa Fe (NM); On-site; USD 217,000 - 326,000; Full time

Job summary

Teradata Corporation is seeking an experienced software engineer focused on AI-native agentic workflows for its AI Platform. You will design and build AI agents that reason, analyze, and act across telemetry, applications, and cloud infrastructure to improve engineering productivity and operational reliability.

The role requires strong Python skills, experience with AI/ML systems in production, and familiarity with distributed systems and observability tooling.

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, and the ability to apply AI to improve engineering and operational outcomes.

Responsibilities

• Lead the design and development of AI-native agentic workflows that enhance engineering productivity, observability intelligence, and end-to-end operational excellence 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.

Skills

Python

Java

Go

AI/ML systems

Distributed systems

Telemetry/Observability

Prompt engineering

LLM integration

DevOps tooling

Communication

Tools

OpenTelemetry

Prometheus

Job description

Teradata Corporation is seeking an experienced software engineer focused on AI-native agentic workflows for its AI Platform. You will design and build AI agents that reason, analyze, and act across telemetry, applications, and cloud infrastructure to improve engineering productivity and operational reliability.

The role requires strong Python skills, experience with AI/ML systems in production, and familiarity with distributed systems and observability tooling.