Senior AI Platform Leader - Scalable, Data-Driven Systems

Teradata Corporation (SE)

Indianapolis (IN)

On-site

USD 200,000 - 299,000

Full time

3 days ago
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Benefits offered by this job

Flexible work model
Inclusive culture
Competitive benefits

Job summary

Teradata Corporation (SE) seeks a Senior Manager – AI Platform to lead the next‑gen platform powering autonomous, AI‑driven agents. You will unite data science expertise with platform thinking to scale reasoning, memory, and tool use in a distributed system.

You will direct a multidisciplinary team of engineers and data scientists, shaping product strategy and ensuring production‑readiness, performance, and extensibility across AI product lines and downstream apps.

Qualifications

  • 12+ years in software/platform engineering or data science.
  • 3+ years in engineering management or AI leadership roles.
  • Proven experience scaling distributed systems or cloud platforms.
  • Strong backend, APIs, infrastructure, or platform architecture background.

Responsibilities

  • Lead the engineering and data science roadmap for the AI Platform with scalable architecture.
  • Partner with product, data science, research, and engineering to define capabilities like planning and multi-agent collaboration.
  • Drive design and implementation of core services including API gateways, vector store integrations, and RAG pipelines.
  • Oversee integrations with third‑party tools and data science services to enable scalable agent execution.
  • Guide cloud-native practices, observability, security, and responsible engineering.

Skills

Platform leadership
Data science
AI/ML platforms
LLM integrations
Vector databases
Semantic search

Job description

Teradata Corporation (SE) seeks a Senior Manager – AI Platform to lead the next‑gen platform powering autonomous, AI‑driven agents. You will unite data science expertise with platform thinking to scale reasoning, memory, and tool use in a distributed system.

You will direct a multidisciplinary team of engineers and data scientists, shaping product strategy and ensuring production‑readiness, performance, and extensibility across AI product lines and downstream apps.

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