Principal Engineer

Teradata Group; Augusta (ME); On-site; USD 180,000 - 240,000; Full time

Job summary

Teradata is seeking a Senior Individual Contributor to design and deploy AI-native agentic workflows that boost engineering productivity and operational excellence. You will architect AI agents for observability, root-cause analysis, and automation across telemetry, applications, and cloud infrastructure.

You will apply LLM-based reasoning, orchestration, and robust guardrails to advance Teradata’s AI Platform, reporting to the VP of AI Apps Tooling & Automation – AI Platform.

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.

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

Software engineering

Python

Distributed systems

Tools

Java

Go

OpenTelemetry

Prometheus

Distributed tracing

Job description

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.

What you will do

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, 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.

Who you will work with

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 DevOps 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.

What makes you a qualified candidate

• 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.

What you will bring

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


• Familiarity with OpenTelemetry, Prometheus, distributed tracing systems, or similar observability stacks.


• Hands-on experience integrating LLMs into production workflows with proper guardrails and evaluation mechanisms.


• Strong understanding of AI-assisted development tooling and productivity optimization.


• Experience designing multi-step reasoning workflows and autonomous decision agents.


• A systems-thinking mindset that connects AI models, data pipelines, and operational workflows end-to-end.


• Strong communication skills with the ability to influence senior engineers and product leaders.


• A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things.

Why we think you will love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

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