Senior AI Platform Lead: Scale Intelligent Agents

Teradata

Richmond (VA)

On-site

USD 200,000 - 299,000

Full time

10 days ago

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Benefits offered by this job

Flexible work model
Inclusive environment
Benefits programs

Job summary

Teradata is seeking a Senior Manager – AI Platform in the Richmond, VA area to steer the development of a next-generation, autonomous AI platform. You will lead a multidisciplinary team and align product and data science strategies to deliver a scalable, production-ready system that integrates with LLMs and data pipelines.

You will drive architecture, collaboration with researchers and engineers, and oversee end-to-end platform services, ensuring performance, extensibility, and governance for

Qualifications

  • Experience leading platform engineering and data science teams.
  • Proven ability to scale distributed systems in production.
  • Strong background in software architecture and APIs.
  • Hands-on with AI/ML platforms, LLMs and data pipelines.
  • Experience with vector databases and semantic search.

Responsibilities

  • Lead the engineering and data science roadmap for the AI Platform.
  • Define requirements for capabilities like memory, planning, multi-agent collaboration.
  • Design core platform services including API gateways and data pipelines.
  • Oversee integrations with tools and data science services at scale.
  • Mentor a team of engineers and data scientists; drive reliability and security.

Skills

Platform leadership
Data science
Distributed systems
Backend APIs
LLM integrations
Cloud-native

Tools

Vector databases
Semantic search
Feature stores

Job description

Teradata is seeking a Senior Manager – AI Platform in the Richmond, VA area to steer the development of a next-generation, autonomous AI platform. You will lead a multidisciplinary team and align product and data science strategies to deliver a scalable, production-ready system that integrates with LLMs and data pipelines.

You will drive architecture, collaboration with researchers and engineers, and oversee end-to-end platform services, ensuring performance, extensibility, and governance for

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