Senior AI Platform Engineer - Agentic Workflows

Teradata; San Jose (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Teradata is seeking a Senior AI Platform Engineer to design and deploy AI-native agentic workflows that drive engineering productivity, observability, and autonomous operations across our AI Platform. You will architect AI agents for observability, automated remediation, and diagnostics, integrating across telemetry, applications, and cloud infrastructure.

The role emphasizes hands-on development of AI-driven tooling, multi-step reasoning, and guardrails for production LLMs.

Qualifications

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

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, 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 and reduce operational toil.
• Apply LLMs and reasoning frameworks to automate complex debugging and system diagnostics.

Skills

Python

Java or Go

AI/ML systems

Distributed systems

Observability

LLM integration

Prompt engineering

Tools

OpenTelemetry

Prometheus

Distributed tracing

Job description

Teradata is seeking a Senior AI Platform Engineer to design and deploy AI-native agentic workflows that drive engineering productivity, observability, and autonomous operations across our AI Platform. You will architect AI agents for observability, automated remediation, and diagnostics, integrating across telemetry, applications, and cloud infrastructure.

The role emphasizes hands-on development of AI-driven tooling, multi-step reasoning, and guardrails for production LLMs.