[Remote] Principal Engineer, Agentic AI

Note: The job is a remote job and is open to candidates in USA. 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

Skills

• 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)
• 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

• 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.
• Teradata invites all identities and backgrounds in the workplace.
• We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization.
• We are proud to be an equal opportunity and affirmative action employer.

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