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. Thats 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. Thats why we offerThe GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers.

Role Overview

GEICO is seeking aSenior Staff Engineer Applied AIto 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 including security compliance data handling and regulatory standards
• Lead rigorous code reviews architecture reviews and design discussions setting the bar for engineering excellence
• Proactively identify and resolve technical debt architectural inconsistencies and scalability issues across AI platform capabilities

Collaboration & Influence

• Partner deeply with Staff Engineers engineering managers product leaders and business stakeholders to co-create scalable AI solutions across organizational boundaries
• Influence technical direction across multiple teams by articulating clear vision building consensus and demonstrating thought leadership
• Work with tech VPs and senior leadership to align technical strategy with business objectives and communicate complex technical topics in business terms
• Collaborate with engineering leaders to define team structure hiring needs and capability development for AI/ML engineering

Mentorship & Community

• Actively mentor and sponsor mid-level engineers (Engineer II through Staff level) who want to develop advanced AI LLM and agentic workflow capabilities
• Provide technical guidance and coaching through pairing sessions architecture reviews and one-on-one mentorship
• Contribute to community-led organizations including open-source projects and communities of practice within GEICO and the broader industry
• Help other engineers gain technical and non-technical leadership skills needed to progress in their careers
• Foster a culture of continuous learning curiosity and innovation across the engineering organization

What We Are Looking For (Must Have)

• 8 or more yearsof professional software engineering or applied machine learning experience including2 or more yearsworking with Generative AI or LLM-based systems in production
• Proven track record ofarchitecting and delivering complex AI/ML capabilitiesthat span multiple teams and have measurable business impact
• Deep hands-on expertisewith Python and modern AI frameworks including LangChain LangGraph LangSmith LlamaIndex Hugging Face OpenAI/Anthropic APIs and emerging agentic frameworks
• Demonstrated experiencebuilding and deploying production RAG(Retrieval-Augmented Generation) systems including document ingestion chunking strategies vector search and context retrieval
• Demonstrated experience designing and operatingproduction AI systemsincluding multi-agent architectures intelligent automation and workflow orchestration
• Strong understanding of agent architectures workflow orchestration retrieval-augmented generation (RAG) vector databases knowledge graphs and semantic reasoning
• Familiarity withAgent-to-Agent (A2A) communication protocolsandModel Context Protocol (MCP)for building interoperable AI systems
• Experience ensuringplatform scalability cross-domain coherence and alignment with AI platform capabilities and strategy
• Strong expertise in distributed systems microservices architecture service design performance optimization and reliability engineering
• Proven ability toinfluence technical direction across multiple teamsand build consensus among engineers and engineering leaders
• Track record ofmentoring engineersat various levels and helping them develop AI and technical leadership capabilities
• Demonstrated ability to translate business needs into scalable technical solutions and communicate effectively with both technical and non-technical stakeholders
• History of deliveringmeasurable business outcomesfrom AI systems in production environments

Nice to Have

• Experience building advanced Generative AI capabilities including domain-tuned LLMs specialized retrieval architectures or prompt optimization frameworks
• Experience in knowledge graph design ontology development and graph-based reasoning for business domains
• Experience with insurance financial services or other highly regulated industries including compliance and risk management
• Experience deploying AI components in Java ecosystems including Spring AI LangChain4j or Embabel for enterprise integration
• Background in document intelligence fraud detection anomaly modeling or decision support systems
• Experience with AI safety practices evaluation frameworks monitoring observability and regulatory compliance
• Experience with MLOps platforms including model training deployment and monitoring
• Contributions to open-source projects technical blogging or community participation
• Ability to map technical concepts to GEICOs business context and insurance industry specifics

Who You Are

• Aself-directed technical leaderwho can identify opportunities scope problems and drive execution across organizational boundaries without explicit direction
• Ahands-on architectwho ships reliable scalable production-grade systems and stays engaged in code and technical implementation
• Someone whothinks from first principlesand questions status quo to drive simpler more elegant and more secure solutions
• Acollaborative partnerwho works effectively with Staff Engineers engineering leaders product managers and business stakeholders to deliver shared outcomes
• Asystems thinkerwho can architect complex solutions spanning LLMs agents vector search knowledge graphs and enterprise integrations
• Anatural mentor and sponsorwho invests in developing mid-level engineers and helps them advance their technical leadership capabilities
• Aninnovative technologistwho stays current with AI/ML trends evaluates emerging technologies and applies them thoughtfully to business problems
• Someone who demonstratesempathyfor customers associates and systems always considering the broader impact of technical decisions
• Driven bymeasurable business impact engineering excellence and building sustainable long-term solutions
• Anexcellent communicatorwho can articulate complex technical ideas at various levels of depth depending on audience and context

Why Join GEICO

• Lead the technical vision for next-generation AI-powered enterprise capabilities and intelligent automation at scale
• Work on high-impact problems that affect millions of customers and thousands of associates across the enterprise
• Influence technical strategy and architecture across multiple teams and organizations
• Collaborate with talented engineers data scientists and leaders who are advancing the state-of-the-art in applied AI
• Set the standard for responsible production-grade AI deployment and engineering excellence across the company
• Mentor and sponsor the next generation of AI/ML engineering leaders
• Shape the future of how GEICO leverages AI to transform customer and associate experiences

Annual Salary

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidates work experience education and training the work location as well as market and business considerations.

The GEICO Pledge:

Great Company:At GEICO we help our customers through lifes twists and turns. Our mission is to protect people when they need it most and were constantly evolving to stay ahead of their needs.

Were an iconic brand that thrives on innovation exceeding our customers expectations and enabling our collective success. From day one youll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on peoples lives.

Great Careers:We offer a career where you can learn grow and thrive through personalized development programs created with your career and your potential in mind. Youll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels.

Great Culture:We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose.

As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards:We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your familys overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.