Lead AI Platform Architect for Scalable Pipelines

theinformation-jobs

New York (NY)

On-site

USD 155,000 - 175,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision coverage
Fertility care benefits
Parental leave
Generous PTO
401(k) with matching
FSAs
Wellness stipend
Cell phone reimbursement
Office lunches
Commuter benefits

Job summary

The Information is seeking an AI Architect to lead the design, evolution, and scaling of our AI pipeline infrastructure. You will own a backend platform that orchestrates AI workflows at scale and extend it to support a growing set of high-fan-out AI features central to our product strategy.

You will partner with product, editorial, and growth teams, mentor engineers, and drive architectural decisions on storage, queues, and cost controls.

Qualifications

  • 5+ years building production applications in a modern web framework with ORM usage, API-only design, and background jobs.
  • Experience designing idempotent, retryable, fan-out job pipelines (batching, concurrency controls, dead-letter handling).
  • Hands-on work with multiple LLM providers, structured output, embeddings, prompt engineering, and cost tracking.

Responsibilities

  • Maintain and operate all existing AI pipelines on the platform.
  • Migrate remaining workflows from the legacy orchestration framework to the primary platform.
  • Own on-call response for AI pipeline failures, including failed-job triage and retries.
  • Manage LLM provider relationships, API key rotation, cost tracking, and model upgrades.
  • Design and implement new high-fan-out AI pipelines on the existing platform.

Skills

Backend framework
Job orchestration
LLM integration
Vector search
Production operations
Architecture design

Tools

Ruby on Rails
Python

Job description

The Information is seeking an AI Architect to lead the design, evolution, and scaling of our AI pipeline infrastructure. You will own a backend platform that orchestrates AI workflows at scale and extend it to support a growing set of high-fan-out AI features central to our product strategy.

You will partner with product, editorial, and growth teams, mentor engineers, and drive architectural decisions on storage, queues, and cost controls.

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