Principal Engineer, Agentic AI Platform

Teradata Corporation (SE)

Carson City (NV)

On-site

USD 169,000 - 254,000

Full time

14 days+
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Flexible work model
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Job summary

Teradata is seeking a Principal Engineer to lead the design and deployment of agentic AI systems within enterprise environments. You will architect secure, scalable agent frameworks, define roadmaps, and collaborate with researchers, platform teams, and product managers to deliver measurable AI outcomes.

You’ll work at the intersection of AI, distributed systems, and cloud-native infrastructure, ensuring observability, governance, and safe deployment while driving adoption across the Teradata

Qualifications

  • Bachelor's or Master's in CS, Engineering, Data Science, or related field.
  • 8+ years of experience in software architecture, backend systems, or AI infrastructure.
  • Hands-on with autonomous agent frameworks and AI orchestration models.
  • Experience securing AI agents and governance at scale.
  • Ability to lead multi-disciplinary teams and drive roadmaps.

Responsibilities

  • Lead the design and deployment of agentic AI systems.
  • Architect secure, scalable agent frameworks and pipelines.
  • Define roadmap for agent management, discovery, provisioning.
  • Ensure guardrails, observability, and compliance.
  • Collaborate with product, platform teams, and researchers.
  • Drive adoption of AI agents enterprise-wide.

Skills

AI systems
Agent frameworks
LLMs
Python
Go
Java
Distributed systems
Security by design
CI/CD
Open source

Education

Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field

Tools

Open claw
Calude AP
LangChain
AutoGen
CrewAI

Job description

Teradata is seeking a Principal Engineer to lead the design and deployment of agentic AI systems within enterprise environments. You will architect secure, scalable agent frameworks, define roadmaps, and collaborate with researchers, platform teams, and product managers to deliver measurable AI outcomes.

You’ll work at the intersection of AI, distributed systems, and cloud-native infrastructure, ensuring observability, governance, and safe deployment while driving adoption across the Teradata

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