Principal AI Engineer
Teradata · Posted Oct 13
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
The AI Platform tooling and automation team at Teradata builds the AI-first application development, intelligent DevOps tooling, and agent-based productivity systems that power next-generation applications and operational intelligence. The team enables engineering teams across the company to leverage AI responsibly and effectively, partnering with AI research, platform engineering, cloud operations, and product teams. This senior individual contributor role, reporting to the VP of AI Apps Tooling & Automation, focuses on architecting and deploying AI agents and agentic workflows for observability, automated root cause analysis, anomaly detection, and engineering productivity across telemetry, application, and cloud infrastructure.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
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