Autonomous AI Engineer - Scalable, Cloud-Native Agents

Teradata

Montpelier (VT)

Hybrid

USD 180,000 - 240,000

Full time

4 days ago
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Job summary

Teradata is seeking an experienced AI engineer to design autonomous agents and agentic AI systems at scale. You will build cloud-native frameworks that enable agents to reason, plan, act, and collaborate in production environments, while ensuring governance, safety, and compliance across deployments.

You will partner with product leaders, architects, and platform teams to define enterprise-grade AI capabilities, and contribute to scalable production infra across AWS, Azure, and GCP.

Qualifications

  • Proven experience designing autonomous AI agents at scale.
  • Experience building agent-based architectures and runtime components.
  • Hands-on governance, safety, and compliance in AI environments.
  • Ability to partner with product leaders, architects and platform teams.

Responsibilities

  • Design and build autonomous AI systems for enterprise-scale use.
  • Lead scalable, secure, cloud-native AI frameworks for reasoning and action.
  • Develop core runtime components powering GenAI and agentic solutions.
  • Collaborate with researchers, platform teams and product leadership.
  • Enable customers to leverage safe, governed AI agents delivering business value.

Skills

Autonomous AI design
Agent-based architectures
Python
Distributed systems
Cloud-native deployments
Strong communication

Education

Bachelor’s or Master’s in Computer Science/Engineering/Data Science

Tools

MCP servers
Vector databases
RAG systems
NLP frameworks
CI/CD pipelines

Job description

Teradata is seeking an experienced AI engineer to design autonomous agents and agentic AI systems at scale. You will build cloud-native frameworks that enable agents to reason, plan, act, and collaborate in production environments, while ensuring governance, safety, and compliance across deployments.

You will partner with product leaders, architects, and platform teams to define enterprise-grade AI capabilities, and contribute to scalable production infra across AWS, Azure, and GCP.

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