Senior Staff Engineer, Applied AI
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 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 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
• Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
• Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
• Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
• Demonstrated experience designing and operating production AI systems including 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 with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
• Experience ensuring platform 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 to influence technical direction across multiple teams and build consensus among engineers and engineering leaders
• Track record of mentoring engineers at 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 delivering measurable business outcomes from 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 GEICO's business context and insurance industry specifics

Who You Are

• A self-directed technical leader who can identify opportunities, scope problems, and drive execution across organizational boundaries without explicit direction
• A hands-on architect who ships reliable, scalable, production-grade systems and stays engaged in code and technical implementation
• Someone who thinks from first principles and questions status quo to drive simpler, more elegant, and more secure solutions
• A collaborative partner who works effectively with Staff Engineers, engineering leaders, product managers, and business stakeholders to deliver shared outcomes
• A systems thinker who can architect complex solutions spanning LLMs, agents, vector search, knowledge graphs, and enterprise integrations
• A natural mentor and sponsor who invests in developing mid-level engineers and helps them advance their technical leadership capabilities
• An innovative technologist who stays current with AI/ML trends, evaluates emerging technologies, and applies them thoughtfully to business problems
• Someone who demonstrates empathy for customers, associates, and systems, always considering the broader impact of technical decisions
• Driven by measurable business impact, engineering excellence, and building sustainable, long-term solutions
• An excellent communicator who 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
$130,000.00 - $260,000.00
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 candidate's work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.