Staff Engineer - Applied AI

GEICO

Remote

Quick summary

Work type: Remote
Location: Bethesda, MD
Salary: $115,000–$230,000 / yr
Posted: 65 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k

This role $172k

$98k most similar roles pay here $277k

This role pays less than 77% of similar roles. Most pay $176,862–$249,753 — the shaded band above. At the midpoint, this role pays about $172k versus about $213k 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 71 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 71 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Staff Engineer - Applied AI

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GEICO is hiring a Staff Engineer, Applied AI to join its innovative engineering team as a senior individual contributor with deep technical expertise and strong collaboration skills. This role involves designing, building, and scaling AI-powered capabilities that automate workflows, improve decision-making, and enhance user experience across the enterprise. The ideal candidate will mentor engineers in AI, LLMs, and agent-based development while fostering a culture of learning and innovation. Key responsibilities include architecting scalable AI solutions, implementing agentic workflows using knowledge graphs, and collaborating with cross-functional teams to translate business needs into technical designs. Essential skills encompass experience with distributed systems, service design, performance optimization, reliability engineering, and mentoring engineers in AI technologies. The role requires a strong background in agent architectures, workflow orchestration, vector databases, and knowledge graph integration, as well as the ability to drive innovation through rigorous experimentation and evaluation of new models and frameworks.

Skills

Python Java LLMs Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL Redis Terraform AWS Azure Git Spring AI LangChain4j Embabel Knowledge Graphs Vector Databases APIs REST GraphQL

What you'll do

Identify and automate business processes using AI and intelligent workflows.
Design and deploy scalable AI solutions for enterprise-wide applications.
Mentor engineers in developing skills related to AI and agent-based systems.
Build resilient and high-performing AI systems with knowledge graph integration.
Lead technical innovation by exploring new models and frameworks creatively.

What we're looking for

Deep technical expertise in building scalable, resilient, production-ready AI systems.
Proven ability to design and implement AI agents and agentic workflows at scale.
Strong experience in improving system reliability through architectural improvements and performance optimization.
Track record of delivering measurable business outcomes from AI systems.
Ability to collaborate across teams and mentor engineers in AI and agent-based system design.
Understanding of agent architectures, workflow orchestration, vector databases, and knowledge graph integration.

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