Staff Engineer - Applied AI

GEICO GEICO · Insurance · Bethesda, MD +1

Staff Engineer, Applied AI at GEICO to shape Generative AI for customer and associate experiences. This role involves designing, building, and scaling AI-powered capabilities, automating workflows, improving decision-making, and mentoring engineers. Focus on applied AI solutions, agentic workflows, and production-ready systems.

What you'd actually do

  1. Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent-based systems.
  2. Architect, build, and deploy applied AI solutions across high-value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.
  3. Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale.
  4. Build systems and services that meet high standards for scalability, resilience, performance, and availability.
  5. Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.

Skills

Required

  • Python
  • LangChain
  • LangGraph
  • LangSmith
  • LlamaIndex
  • Hugging Face
  • OpenAI APIs
  • Anthropic APIs
  • Agent architectures
  • Workflow orchestration
  • Retrieval-augmented generation
  • Vector databases
  • Knowledge graph integration
  • Distributed systems
  • Service design
  • Performance optimization
  • Reliability engineering

Nice to have

  • Domain-tuned LLMs
  • Vector reasoning techniques
  • Specialized retrieval architectures
  • Insurance industry experience
  • Financial services industry experience
  • Regulated industries experience
  • Java
  • Spring AI
  • LangChain4j
  • Embabel
  • Document intelligence
  • Fraud modeling
  • Anomaly modeling
  • Ontology design
  • AI safety practices
  • Evaluation frameworks
  • Monitoring
  • Regulatory compliance
  • Communication to senior leadership
  • Communication to non-technical stakeholders

What the JD emphasized

  • 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.
  • 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.
  • A history of delivering measurable business outcomes from AI systems.
  • Strong competency in distributed systems, service design, performance optimization, and reliability engineering.

Other signals

  • Applied AI
  • Generative AI
  • LLM-based systems
  • Agentic workflows
  • Production AI systems