Senior AI Platform Leader — Scalable LLM & Data Systems

Teradata

Trenton (NJ)

In loco

USD 200.000 - 299.000

Tempo pieno

7 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Teradata seeks a Senior Manager – AI Platform to lead the development of a next-generation platform powering autonomous, AI-driven agents. This role combines data science expertise with technical depth to scale a distributed system enabling reasoning, memory, and tool use at runtime.

You will drive product and data science strategy, guide a multidisciplinary team of engineers and data scientists, and ensure the AI Platform is performant, extensible, and production-ready across cloud and hybrid

Competenze

  • 12+ years in software/platform engineering or data science with 3+ years in leadership.
  • Proven experience building scalable distributed systems or cloud platforms.
  • Hands-on with AI/ML platforms, LLMs, and data science pipelines.

Mansioni

  • Lead the engineering and data science roadmap for the AI Platform.
  • Define requirements for capabilities like memory, planning, and multi-agent collaboration.
  • Design core services including API gateways and RAG pipelines.
  • Oversee integrations with third-party tools and data science services.
  • Mentor a team of backend engineers and data scientists.

Conoscenze

Platform engineering leadership
AI/ML experience
Distributed systems
Backend APIs
Cloud-native
Leadership
Cross-functional collaboration

Strumenti

API gateways
Vector databases
LLM integrations

Descrizione del lavoro

Teradata seeks a Senior Manager – AI Platform to lead the development of a next-generation platform powering autonomous, AI-driven agents. This role combines data science expertise with technical depth to scale a distributed system enabling reasoning, memory, and tool use at runtime.

You will drive product and data science strategy, guide a multidisciplinary team of engineers and data scientists, and ensure the AI Platform is performant, extensible, and production-ready across cloud and hybrid

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