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GEICO

Sells vehicle insurance to drivers and businesses

Distinguished Engineer - AI Applications

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$210k - $350k /yrHybrid

About the Job

Requirements

  • A master's degree or higher in Computer Science, Engineering, Statistics, or a related field.
  • At least 10 years of professional software engineering experience, with deep expertise in large-scale distributed systems.
  • Extensive experience architecting and building multi-component AI/ML platforms using search and retrieval systems such as Elasticsearch, Qdrant, Milvus, Pinecone, and Weaviate; data platforms such as Snowflake, relational and NoSQL databases, and feature stores; streaming and distributed processing technologies such as Kafka, Spark, and Ray; workflow orchestration tools such as Airflow, Temporal, and Prefect; LLM orchestration and application frameworks such as LangChain and LlamaIndex; observability, evaluation, and tracing tools for GenAI systems such as LangSmith, Arize Phoenix, Weights & Biases, and OpenTelemetry; vector databases, embedding pipelines, and retrieval-augmented generation architectures; and agentic frameworks and multi-agent systems for complex task execution.
  • Strong background owning the full software development lifecycle, including CI/CD, Kubernetes, monitoring, and production operations.
  • Deep experience with major cloud platforms such as AWS and Azure.
  • Hands-on experience building production systems using LLMs and Generative AI technologies such as GPT, Llama, Mistral, and Claude to power conversational and agentic workflows.

Responsibilities

  • Define, own, and evolve the foundational architecture for GEICO’s Generative AI and agentic workflow platforms.
  • Serve as the final technical authority on complex architectural decisions affecting multiple products, teams, and business domains.
  • Design interconnected, high-performance, and durable platform components that power end-to-end GenAI workflows, including knowledge curation and management, search and retrieval systems, prompt and context management, workflow orchestration and action execution, and semantic and knowledge graph systems.
  • Establish and drive multi-year technical strategy and roadmaps for AI platform capabilities and GenAI applications in partnership with product and business leaders.
  • Balance speed, scalability, reliability, and extensibility while ensuring platforms and GenAI applications support future AI use cases, evolving business needs, and organizational growth.
  • Influence investment decisions by evaluating build-versus-buy tradeoffs and architectural choices for the underlying platform and GenAI applications.
  • Define the reference architecture and best practices for GenAI application development, deployment, and integration, ensuring alignment with enterprise architecture.
  • Collaborate with business stakeholders to identify high-impact GenAI application opportunities and develop strategies to maximize business value and measurable outcomes.
  • Continuously assess and communicate the business impact of GenAI applications, providing clear metrics and feedback loops to inform ongoing strategy and platform evolution.
  • Lead evaluation and selection of core technologies, frameworks, and infrastructure components for building and scaling Generative AI applications, including LLM orchestration, agentic workflows, RAG systems, and evaluation and observability tooling, while partnering on AI platform infrastructure and services to support production readiness.
  • Ensure architectural consistency and technical rigor across open-source, cloud-agnostic, and managed-service integrations.
  • Collaborate across engineering, data science, ML, product, and design organizations to align platform and GenAI application direction, technical standards, and business objectives.
  • Drive alignment across teams by translating complex technical and business concepts into clear architectural guidance and decision frameworks.
  • Partner with senior technical and business leaders across departments to promote enterprise-wide adoption of GenAI best practices and maximize organizational impact.
  • Tackle complex and ambiguous technical and business challenges affecting system-wide and application-specific performance, reliability, and scalability.
  • Lead deep technical reviews, architectural assessments, and design discussions for critical AI and GenAI application initiatives.
  • Guide platform and GenAI application evolution through hands-on engagement when necessary, especially in high-impact or high-risk areas.
  • Mentor senior engineers and technical leads, setting a high bar for architectural thinking, engineering quality, and technical decision-making for platform and GenAI application initiatives.
  • Establish and reinforce best practices for platform and GenAI application design, reliability, observability, and operational excellence.
  • Contribute to internal documentation, architectural standards, and technical knowledge sharing for the AI platform and GenAI applications.

About the Company

GEICO

Sells vehicle insurance to drivers and businesses

GEICO sells vehicle insurance to drivers and businesses across the United States, with private passenger auto coverage at the core of its business. It handles quotes mainly through its website and phone lines, while local agencies also sell its policies. Customers pay premiums for protection against covered accidents, vehicle damage and liability, and use its app to manage policies and report claims. The GEICO Insurance Agency also arranges home, renters and life coverage written by unaffiliated insurers, expanding the choices available through its website. Founded in 1936, GEICO is owned by Berkshire Hathaway and headquartered in Bethesda, Maryland.

Company size
10,001+
Company stage
Acquired
Total funding
Not listed
Headquarters
Bethesda, MD
Founded
1936

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