Staff Software Engineer, AI Platform

Root Insurance

7d•$188,800 - $265,000•Remote

About The Position

AI Platform is Root’s team for building the infrastructure, tooling, and operating patterns that make AI capabilities reliable, secure, and usable across Root’s products and operations. As a Staff Software Engineer on AI Platform, you will set the technical direction for that foundation, connect company strategy to durable platform architecture, and lead the cross-team work that turns AI ambition into infrastructure.

Requirements

7+ years as a software engineer
3+ years leading software teams or major technical initiatives
Demonstrated ability to set technical direction and deliver results across multiple teams or a meaningful engineering domain.
Deep expertise in cloud infrastructure, preferably AWS, Terraform, secure software delivery, and production operations.
Strong systems-design judgment across reliability, observability, security, cost, and long-term maintainability.
Experience guiding AI/LLM platform or application architecture and evaluating novel technical approaches responsibly.
Ability to drive cross-team implementation decisions, resolve ambiguity, and communicate complex topics to senior leaders.
A record of shaping technical roadmaps, unlocking long-term value, and developing engineers beyond an immediate team.
Excellent collaboration and influence skills with engineering and cross-functional leaders.

Responsibilities

Define what Root must make true for AI to become a trusted, company-wide capability—and translate that vision into multi-quarter technical direction.
Lead the cross-team initiatives that turn AI strategy into durable platform architecture, shared services, and operating models.
Make the hard technical tradeoffs that let teams move quickly without compromising security, reliability, observability, cost, or long-term maintainability.
Unblock critical work across AI Platform, product engineering, data, security, and infrastructure by aligning decisions across systems and domains.
Establish the standards and feedback loops that help Root monitor, govern, and continuously improve AI-enabled systems.
Anticipate the next constraints before they become blockers, then drive the technical investments that unlock the company’s next stage of AI adoption.
Multiply impact by developing engineers and technical leaders through clear architecture, strong mentorship, and excellent systems judgment.