30 Teradata Customer Services Representative Jobs Hiring Near You

Job Summary:
Teradata is a company focused on empowering organizations with better information through its Autonomous Knowledge Platform. The Principal Engineer for Agentic AI will lead the design and development of AI-native workflows, enhancing engineering productivity and operational excellence by architecting intelligent systems and automating processes across the AI Platform.
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.
• 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.
Qualifications:
Required:
• 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:
• 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.
Company:
Teradata is the connected multi-cloud data platform company. Our enterprise analytics solve business challenges from start to scale. Founded in 1979, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.