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Staff Engineer - Applied AI

Geico

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Location:
United States , Chevy Chase ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

115000.00 - 230000.00 USD / Year
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Job Description:

GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands-on individual contributor role for someone with deep technical expertise, strong collaboration skills, and a proven ability to deliver scalable, resilient, production-ready AI systems. You will partner with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation.

Job Responsibility:

  • Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent-based systems
  • Architect, build, and deploy applied AI solutions across high-value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants
  • Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
  • Build systems and services that meet high standards for scalability, resilience, performance, and availability
  • Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
  • Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into technical designs
  • Mentor engineers and scientists who want to develop AI and agentic workflow skills through coaching, pairing, reviews, and architectural guidance
  • Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
  • Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams
  • Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments
  • Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems

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
  • Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
  • Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features
  • Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
  • Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
  • Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
  • A history of delivering measurable business outcomes from AI systems
  • Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Nice to have:

  • Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures
  • Experience with insurance, financial services, or other regulated industries
  • Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel
  • Background in document intelligence, fraud or anomaly modeling, or complex ontology and knowledge graph design
  • Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance
  • Ability to effectively communicate complex technical topics to senior leadership and non-technical stakeholders
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
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