Distinguished Engineer, AI Applications

GEICO GEICO · Insurance · Palo Alto, CA +2

Distinguished Engineer to drive the architecture, evolution, and technical strategy of GEICO’s Generative AI and virtual agent platforms, supporting 20K+ contact center employees. This role involves defining and evolving durable, scalable AI systems for large-scale GenAI and agentic workflows, with a focus on knowledge curation, search, prompt management, orchestration, and semantic systems. The ideal candidate has a proven track record in designing complex AI/ML platforms at scale and expertise in Generative AI technologies.

What you'd actually do

  1. Define, own, and evolve the foundational architecture for GEICO’s Generative AI and agentic workflow platforms.
  2. Serve as a final technical authority on complex architectural decisions impacting multiple products, teams, and business domains.
  3. 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, Semantic and knowledge graph systems
  4. Establish and drive multi-year technical strategy and roadmaps for both AI platform capabilities and Generative AI (GenAI) applications in close partnership with product and business leaders.
  5. Lead evaluation and selection of core technologies, frameworks, and infrastructure components with a emphasis on building and scaling Generative AI applications, including LLM orchestration(e.g., LangChain, LlamaIndex), agentic workflows, RAG systems, and evaluation/observability tooling, while partnering on underling AI platform infrastructure and services to support production readiness.

Skills

Required

  • Generative AI
  • virtual agents
  • agentic workflows
  • LLM orchestration
  • RAG systems
  • large-scale distributed systems
  • AI/ML platforms
  • enterprise architecture

Nice to have

  • LangChain
  • LlamaIndex
  • Elasticsearch
  • Qdrant
  • Milvus
  • Pinecone

What the JD emphasized

  • final technical authority
  • multi-year technical strategy
  • build vs. buy tradeoffs
  • architecting and building multi-component AI/ML platforms
  • large-scale distributed systems

Other signals

  • Generative AI platforms
  • virtual agent platforms
  • agentic workflows
  • LLM orchestration