Staff AI Platform Engineer: Lead & Enable AI

Rippling, Inc.

United States

Remote

USD 189,000 - 265,000

Full time

14 days+
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Job summary

Root is seeking a Staff Software Engineer focused on AI to define technical direction, lead multi-team initiatives, and enable AI in real workflows across our AI Platform and AI Enablement squads. You will shape secure, scalable AI-enabled systems and mentor engineers while balancing risk, cost, and impact.

Ideal candidates have 7+ years in software engineering, 3+ years leading teams, deep cloud experience (AWS), and hands-on AI enablement experience to translate experiments into production

Qualifications

  • 7+ years of software engineering experience with a track record of leading software teams or major technical initiatives.
  • Strong systems and product judgment with ability to frame ambiguous problems and turn learning into reusable capabilities.
  • Experience with AI/LLM technologies and responsible, scalable use.
  • Depth in cloud/platform architecture and production operations (AWS, Terraform, secure delivery).

Responsibilities

  • Set a multi-quarter technical direction for AI-enabled systems and durable investments.
  • Lead cross-team initiatives from framing through architecture, implementation, and measurable outcomes.
  • Connect user workflows to shared services and platform strategy for scalable solutions.
  • Mentor engineers and technical leaders to multiply impact across teams.

Skills

AI/LLM technologies
Leadership
Cross-team collaboration
Systems design
Cloud architecture

Tools

AWS
Terraform

Job description

Root is seeking a Staff Software Engineer focused on AI to define technical direction, lead multi-team initiatives, and enable AI in real workflows across our AI Platform and AI Enablement squads. You will shape secure, scalable AI-enabled systems and mentor engineers while balancing risk, cost, and impact.

Ideal candidates have 7+ years in software engineering, 3+ years leading teams, deep cloud experience (AWS), and hands-on AI enablement experience to translate experiments into production

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