Staff AI Platform Architect & Fullstack Leader

Scale AI, Inc.

New York (NY)

On-site

USD 252,000 - 315,000

Full time

14 days+

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Benefits offered by this job

Equity
Health benefits
PTO
Learning stipend
Commuter stipend

Job summary

Scale AI, Inc. is seeking an L6 Staff Fullstack Engineer & Architect to drive architectural overhaul and platform integration across CB teams, including Allocation, Growth, Trust & Safety, Pay, and Allocations.

You will act as an organizational architect and tech lead, embedding into high‑priority projects and shipping mission‑critical initiatives. You will shape the long‑term stack to be scalable, AI‑native, and tightly integrated with LLMs.

Qualifications

  • 7+ years engineering experience in tech roles
  • Proven track record as Tech Lead/Architect
  • Experience with LLMs, vector databases, and AI tech
  • Kubernetes experience
  • Experience with AWS, Azure or GCP

Responsibilities

  • Deploy flexibly into critical, fast‑moving product initiatives across the CB organization
  • Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models
  • Lead architecture decisions for scalability, reliability, and performance
  • Mentor and uplevel engineers across the team
  • Partner with product and leadership to shape roadmap and priorities
  • Work across backend, frontend, and ML systems

Skills

Tech Lead / Architect
Full-stack engineering
LLMs / AI tech
Kubernetes
Cloud (AWS/Azure/GCP)
Shipping at scale

Tools

Vector databases
ML systems
LLMs integration

Job description

Scale AI, Inc. is seeking an L6 Staff Fullstack Engineer & Architect to drive architectural overhaul and platform integration across CB teams, including Allocation, Growth, Trust & Safety, Pay, and Allocations.

You will act as an organizational architect and tech lead, embedding into high‑priority projects and shipping mission‑critical initiatives. You will shape the long‑term stack to be scalable, AI‑native, and tightly integrated with LLMs.

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