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Teradata Logo Teradata · IT - Software Development

Principal AI Architect

India, Bengaluru, Karnataka · Job Posted May 30, 2026
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Job Description

As the Principal AI Architect for Teradata AI Studio, you will 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. You will set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness. You will establish the patterns for how enterprise customers build trustworthy AI workflows — from data preparation through model deployment to agent-driven automation — and ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market. This is a hands-on technical leadership role. Success means shipping architectural decisions that other engineers can build on with confidence, customers adopting AI Studio at scale, and Teradata being recognized as the platform of choice for enterprise AI development.

Job Responsibility

  • Define the technical architecture of Teradata's end-to-end AI development environment
  • 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

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

Nice to have

  • 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

What we offer

  • People-first culture
  • Flexible work model
  • Focus on well-being
  • Commitment to fostering an inclusive environment
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