Sr. Staff Engineer – AI Enablement & Engineering Excellence - Hybrid

GEICO

Remote Hybrid

Quick summary

Work type
Remote
Location
Palo Alto, CA
Salary
$130,000–$260,000 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $195k
$114k most similar roles pay here $276k

This role pays less than 64% of similar roles. Most pay $177,250–$246,425 — the shaded band above. At the midpoint, this role pays about $195k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 139 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 139 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Sr. Staff Engineer – AI Enablement & Engineering Excellence - Hybrid

As a Sr. Staff Engineer at GEICO, you will lead the integration of AI into the software development lifecycle across a large engineering organization, focusing on strategy, adoption frameworks, and technical depth. Your day-to-day involves evaluating and selecting AI tools, designing integration patterns, and building internal playbooks to embed AI in development workflows for real outcomes. You will also drive engineering excellence by identifying gaps that hinder AI adoption and defining standards for effective tooling. Key skills include hands-on experience with AI developer tools like GitHub Copilot, deep understanding of LLM fundamentals, and the ability to influence technical roadmaps at senior levels. This role requires expertise in scaling AI responsibly and ensuring it enhances productivity, code quality, and security while minimizing costs.

What you'll do

  • Own the organization-wide strategy for AI in the software development lifecycle.
  • Pilot and operationalize AI tooling across the SDLC to enhance developer productivity.
  • Define adoption frameworks that ensure responsible use of AI tools in engineering.
  • Establish metrics to measure AI's impact on engineering velocity, quality, and experience.
  • Provide architectural guidance for integrating LLMs into production software systems.
  • Identify and close engineering gaps that hinder effective AI tool integration.
  • Influence engineering roadmaps through clear, evidence-based technical recommendations.

What we're looking for

  • 10+ years of software engineering experience with at least 3 years in AI/ML tooling and LLM integration.
  • Deep hands-on experience with production-level AI developer tools like GitHub Copilot and LLM-powered code review systems.
  • Expertise in designing and deploying large-scale AI-integrated systems, understanding cost, latency, and quality tradeoffs.
  • Proven track record of driving technical adoption across engineering teams without direct authority.
  • Strong communication skills to articulate AI technical concepts to both engineers and senior leadership effectively.
  • Experience building internal AI enablement programs or developer experience platforms preferred.

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Hybrid