Principal Engineer, Agentic AI

Our company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach.

Teradata delivers real business value with AI.

In this role you will:

• 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, Dev Ops, 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.

On our team, we:

• Build the AI Platform tooling, automation, and agentic frameworks that power next-generation applications and operational intelligence at Teradata.

• You will report directly to the VP, AI Apps Tooling & Automation – AI Platform.

• The team drives AI-first application development, intelligent Dev Ops tooling, and agent-based productivity systems.

• We enable engineering teams across the company to leverage AI responsibly and effectively.

• We partner with AI research, platform engineering, cloud operations, and product teams to integrate observability and automation into the core platform.

• We collaborate with colleagues who share a commitment to leveraging AI responsibly, ensuring our people and customers benefit from the opportunities AI creates.

• This team plays a foundational role in advancing Teradata’s AI-first strategy by transforming how software is built and operated.

• 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.

• Experience building agentic systems for observability, automated remediation, or intelligent diagnostics (ideal background from AI-native or data observability companies such as Acceldata).

• Familiar it…