Jobs · Engineering · Maryland

Staff Engineer - Applied AI

GEICO · Bethesda, MD · 5 days ago
HybridEngineering$115k–$230k/yrFull-time

About the role

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.

Responsibilities

  • 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, including 2 or more years working with Generative AI or LLM-based systems in production.
  • Experience adding intelligence to internal processes and workflows to improve efficiency, automation, and decision-making.
  • Track record of improving system reliability and scalability through architectural improvements, performance optimization, and infrastructure enhancements.
  • 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.
  • Experience 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.

Qualifications

  • Education: Bachelor's degree in Computer Science, Engineering, or related field.
  • Experience: 8+ years of professional software engineering or applied machine learning experience.

Skills

  • Generative AI
  • Applied Machine Learning
  • Workflow Orchestration
  • Knowledge Graph Integration
  • Vector Databases
  • Agent Architectures
  • Document Intelligence
  • Fraud Modeling
  • Complex Ontology Design
  • AI Safety Practices

Benefits

The GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers. GEICO offers a comprehensive Total Rewards program that includes market-competitive compensation, a 401K savings plan with a 6% match, performance and recognition-based incentives, and tuition assistance. Additionally, GEICO provides mental healthcare, fertility and adoption assistance, and flexible work arrangements.

Pay

$115,000.00 - $230,000.00 annually. Final salary will be determined based on the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location, and market and business considerations.

Schedule

Full-time position.

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