Senior Staff Software Engineer - AI & Underwriting Platforms - Hybrid

GEICOBethesda, WA
$110,000 - $260,000Hybrid

About The Position

GEICO is re-engineering underwriting at scale. As a Senior Staff Engineer, you will play a pivotal role in building the next generation of underwriting platforms that power decisions across all GEICO business lines. This is a high-impact leadership role where you will design, build, and scale mission-critical, AI-enabled systems while helping transform GEICO from a traditional IT organization into a modern technology company. You will work at the intersection of cloud-native architecture, distributed systems, and applied AI, partnering closely with underwriting operations, product leaders, and senior engineers to eliminate manual processes and unlock smarter, faster decision-making.

Requirements

  • Deep experience with at least one modern programming language (Java, Go, or C++)
  • Strong background in distributed systems and service-oriented architectures (REST, gRPC)
  • Hands-on experience designing and building cloud-native systems on AWS, Azure, or GCP
  • Fluency in DevOps and CI/CD, including infrastructure as code and operational best practices
  • Advanced understanding of data structures, algorithms, and system design
  • Proven experience with application monitoring, performance tuning, and observability tools
  • Practical experience integrating AI/ML solutions, including LLMs, prompts, and RAG-based approaches
  • Experience building AI-enabled applications via APIs or embedded solutions
  • Curiosity and comfort working in an evolving AI-driven engineering landscape
  • Ability to lead through influence rather than authority
  • Strong communication skills with a track record of collaborating across disciplines
  • Comfort operating in a fast-paced, startup-like environment while delivering enterprise-grade solutions
  • 10+ years of professional software engineering experience, including senior-level technical leadership
  • 8+ years leading architecture and large-scale system initiatives
  • 4+ years building and operating systems in public cloud environments
  • 3+ years working on AI/ML-driven products or platforms
  • Experience contributing to or leveraging open-source frameworks

Responsibilities

  • Lead the design and delivery of large-scale, production-ready underwriting platforms, including AI and LLM-powered capabilities
  • Architect highly available, secure, and scalable services that support enterprise-level workloads
  • Drive end-to-end ownership of systems—from concept and architecture through production and long-term evolution
  • Provide technical leadership across multiple teams, influencing architecture, design patterns, and engineering standards
  • Mentor and grow senior and mid-level engineers, setting a high bar for engineering excellence
  • Partner closely with Product, Operations, and Engineering Leadership to deliver measurable business outcomes
  • Modernize legacy systems through cloud migration, automation, and digital transformation initiatives
  • Champion best practices in observability, performance, reliability, and security
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Benefits

  • Competitive pay
  • Benefits
  • Flexibility to support your well-being and future
  • Personalized development programs
  • Mentorship
  • Certification assistance
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