Senior AI Agent Architect

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

Job summary

Teradata Corporation (SE) is seeking a Senior software engineer to design and build AI-native agentic workflows that improve engineering productivity and observability across our AI Platform.

The role emphasizes building AI agents, integrating LLMs, and applying reasoning frameworks to automate diagnostics and remediation across telemetry, applications, and cloud infrastructure. Strong Python and Java/Go skills are essential, with 8+ years in production AI/ML systems.

Qualifications

• 8+ years of software engineering experience with deep exposure to AI/ML systems in production environments.
• Proven experience building AI agents or autonomous workflows, not just consuming AI APIs.
• Proficiency in Python and at least one of Java or Go.

Responsibilities

• Lead design and development of AI-native agentic workflows to boost engineering productivity and observability across Teradata’s AI Platform.
• Architect and build AI agents for observability, automated root cause analysis, anomaly detection, and productivity optimization.
• Design agentic workflows that integrate across telemetry pipelines, application stacks, 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.
• Drive AI-native development practices across apps, tooling, and platform engineering.

Skills

AI/ML systems

Python

Java or Go

Distributed systems

Telemetry/observability

Agent orchestration

Reasoning frameworks

Communication skills

Tools

OpenTelemetry

Prometheus

LLM integration

Job description

Teradata Corporation (SE) is seeking a Senior software engineer to design and build AI-native agentic workflows that improve engineering productivity and observability across our AI Platform.

The role emphasizes building AI agents, integrating LLMs, and applying reasoning frameworks to automate diagnostics and remediation across telemetry, applications, and cloud infrastructure. Strong Python and Java/Go skills are essential, with 8+ years in production AI/ML systems.