Sr Staff Engineer - Applied AI

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. Senior Staff Engineer, Applied AI

About GEICO 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. Role Overview

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility at the tech VP level. This is a self-directed, senior individual contributor role for someone with deep technical expertise, proven ability to influence across organizational boundaries, and a track record of delivering scalable, resilient, production-ready AI systems that drive measurable business outcomes.

You will provide technical direction and architecture for capabilities spanning multiple teams, working closely with Staff Engineers, engineering leaders, product management, and business stakeholders to design and scale AI-powered solutions. You will actively mentor and sponsor mid-level engineers, set technical standards for AI/ML engineering excellence, and drive adoption of best practices across the organization.

What You Will Do

Technical Architecture & Leadership

• Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
• Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
• Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
• Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
• Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
• Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance

Product & Innovation

• Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
• Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
• Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
• Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems
• Translate ambiguous business problems into clear technical solutions, working with product and engineering leadership to define roadmaps and priorities

Engineering Excellence & Standards

• Serve as principal contributor and approver for design patterns, architectural standards, and best practices for AI/ML systems across multiple teams
• Establish and drive adoption of engineering best practices for reliability, interpretability, safety, governance, monitoring, and responsible AI deployment
• Ensure AI system implementations meet functional and non-functional requirements incl…