Senior Staff Engineer - GEICO Tiering & Rating Platform - Hybrid

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

GEICO is seeking a Senior Staff Software Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications to join our Tiering & Rating Platform team. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

Our Senior Staff Engineer is a key member of the engineering staff working across the organization to provide friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

This is a hands-on, senior individual contributor role serving as Technical Lead for a team building technical solutions to leapfrog best-in-industry rating, underwriting and Scoring capabilities using declarative schema through a world-class front-end experience to customers to reduce product time-to-market by over 75%. The GEICO Tiering & Rating organization is looking at this role to build Operations excellence and engineering mindset within the team while maintaining an AI first culture of automated testing, deployment, rollbacks and monitoring.

Position Responsibilities

As a Senior Staff Engineer, you will:

• Focus on multiple areas and provide leadership to the engineering teams.

• Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience.

• Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production.

• Lead through technical influence, providing technical direction and mentorship on AI architecture, LLMs, agent-based development, experimentation, and deployments across multiple teams.

• Set standards for AI reliability, interpretability, and governance tailored to application domains and regulatory constraints.

• Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in application domains.

• Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.

• Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

• Utilize programming languages like Python, C#, Java or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.

Qualifications

• Fluency and specialization with at least two modern languages such as Java, Python, GO, or C# including object-oriented design.

• 8+ years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.

• A track record of turning research ideas into working products with measurable outcomes.

• Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.

• Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design.

• Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features.

• Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production.

• Strong understanding of agent architectures, workflow orchestration, retrieval-augmented g