Principal AI Platform Engineer – Autonomous Agents

Teradata Corporation (SE); Frankfort (KY); On-site; USD 169,000 - 254,000; Full time

Job summary

Teradata Corporation, a leader in enterprise data solutions, seeks a Principal Engineer to advance its agentic AI capabilities. You will design and deploy autonomous AI agents, build scalable agent frameworks, and ensure secure, observable deployments across Teradata AI Studio and related platforms.

You will collaborate with researchers, engineers, and product teams to shape the agent platform roadmap, tackle governance, and drive safe AI adoption at scale within large enterprises.

Qualifications

• A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 8+ years of experience in software architecture, backend systems, or AI infrastructure.
• Hands-on, deeply technical principal engineer leading innovation in agentic AI.

Responsibilities

• Design, develop, and deploy intelligent agents that can reason, plan, and act autonomously with secure deployment at scale.
• Architect production-grade AI systems including agent frameworks, LLM pipelines, observability, and evaluation layers.
• Ensure AI agents are secure by design with visibility, guardrails, and governance.
• Collaborate with product, platform, and research teams to define next-generation agent platform roadmap.
• Drive multi-agent collaboration, memory/context management, and extensibility across enterprise deployments.

Skills

AI architecture

Agent frameworks

Secure deployment

Cloud-native

Python/Go/Java

Education

Bachelor's or Master's in Computer Science or related field

Tools

Open claw

Calude AP

LangChain

AutoGen

CrewAI

Job description

Teradata Corporation, a leader in enterprise data solutions, seeks a Principal Engineer to advance its agentic AI capabilities. You will design and deploy autonomous AI agents, build scalable agent frameworks, and ensure secure, observable deployments across Teradata AI Studio and related platforms.

You will collaborate with researchers, engineers, and product teams to shape the agent platform roadmap, tackle governance, and drive safe AI adoption at scale within large enterprises.