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Principal Ai Architect

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Teradata

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Location:
United States , California

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

217300.00 - 325900.00 USD / Year
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Job Description:

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

Job Responsibility:

  • Define the technical architecture of Teradata's end-to-end AI development environment — the platform where data scientists, ML engineers, and AI developers build, test, deploy, and monitor AI and agentic applications on top of Vantage
  • Set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness
  • Establish the patterns for how enterprise customers build trustworthy AI workflows — from data preparation through model deployment to agent-driven automation
  • Ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market
  • Ship architectural decisions that other engineers can build on with confidence
  • Drive customer adoption of AI Studio at scale

Requirements:

  • 10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform-wide technical scope
  • Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments
  • Deep understanding of LLM integration patterns: RAG architectures, fine-tuning pipelines, evaluation frameworks, and agent tool-calling interfaces
  • Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics
  • Experience building developer-facing platforms — SDKs, APIs, or IDEs — that external developers adopt and extend
  • Familiarity with open-source AI development tools: MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable
  • Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and responsible AI guardrails
  • Experience with cloud-native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker)
  • Strong cross-functional influence: you can drive alignment across engineering, product, and customer-facing teams without formal authority
  • A portfolio of architectural decisions — RFCs, design docs, or open-source work — that demonstrates your approach
  • A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things
What we offer:
  • Healthcare
  • life and disability insurance plans
  • 401(k)-retirement savings plan
  • time-off programs

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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