Senior AI Agentic Engineer - Observability & Productivity

Teradata Corporation (SE); Des Moines (IA); On-site; USD 217,000 - 326,000; Full time

Job summary

Teradata Corporation is seeking a Senior Software Engineer to design and build AI-native agentic workflows for its AI Platform. You will own end-to-end development of intelligent agents, integrating LLMs, observability tooling, and automated remediation across telemetry, applications and CI/CD pipelines.

You will collaborate with cross-functional teams, promote responsible AI practices, and help raise engineering efficiency, MTTR, and platform reliability through scalable agent-based solutions.

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.
• This is a Senior Individual Contributor role focused on building and deploying intelligent agents—not just integrating automation tools, but architecting AI-driven systems that reason, analyze, and act across telemetry, applications, and workflows.
• 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. Success in this role means measurable improvements in engineering efficiency, system reliability, and autonomous operations maturity.

Skills

Python

Java/Go

AI/ML systems

Distributed systems

Observability

Prompt engineering

Agent orchestration

LLM integration

Tools

OpenTelemetry

Prometheus

Distributed tracing

Job description

Teradata Corporation is seeking a Senior Software Engineer to design and build AI-native agentic workflows for its AI Platform. You will own end-to-end development of intelligent agents, integrating LLMs, observability tooling, and automated remediation across telemetry, applications and CI/CD pipelines.

You will collaborate with cross-functional teams, promote responsible AI practices, and help raise engineering efficiency, MTTR, and platform reliability through scalable agent-based solutions.