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Senior Staff Engineer, Applied AI

Geico

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Location:
United States , Chevy Chase, MD

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Contract Type:
Not provided

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Salary:

130000.00 - 260000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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
  • 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

Requirements:

  • 8 or more years of professional software engineering or applied machine learning experience
  • 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
What we offer:
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s 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

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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