Sr Staff Engineer - Applied AI

About the role

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.

Responsibilities

• 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
• 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
• Translate ambiguous business problems into clear technical solutions, working with product and engineering leadership to define roadmaps and priorities

Requirements

• 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
• 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
• Experience delivering measurable business outcomes from AI systems in production environments

Qualifications

• 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
• Experience with 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

Skills

• Self-directed technical leader with experience in scope and execution across organizational boundaries
• Hands-on architect with experience in shipping reliable, scalable, production-grade systems
• Systems thinker with experience in LLMs, agents, vector search, knowledge graphs, and enterprise integrations
• Mentor and sponsor of mid-level engineers with experience in developing technical leadership capabilities
• Innovative technologist with experience in evaluating and applying emerging technologies to business problems
• Excellent communicator with experience in mapping technical concepts to GEICO's business context

Benefits

The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers

Pay

$130,000.00 - $260,000.00 per year. 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.

Schedule

Full-time