Distinguished Engineer, AI Applications

GEICO

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Palo Alto, CA
Salary
$210,000–$350,000 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $280k
$128k most similar roles pay here $374k

This role pays more than 74% of similar roles. Most pay $161,500–$285,000 — the shaded band above. At the midpoint, this role pays about $280k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 68 open roles on FindRole.

Listed pay typically runs $112,500–$230,000 across 68 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Distinguished Engineer, AI Applications

Distinguished Engineer, AI Applications serves as a senior technical authority within the AI organization to drive the architecture, evolution, and long-term strategy of Generative AI and virtual agent platforms. This role focuses on building durable, scalable systems for knowledge curation, search and retrieval, prompt management, and workflow orchestration to support contact center operations across claims, service, and sales. The position requires expertise in LLM orchestration tools like LangChain and LlamaIndex, RAG architectures, vector databases such as Qdrant or Pinecone, and data platforms including Snowflake and Kafka. Candidates must possess deep experience with distributed systems, Kubernetes, and cloud environments like AWS and Azure. The role solves the challenge of scaling production-grade agentic workflows while ensuring technical rigor across multi-system AI/ML platforms to improve service quality and operational efficiency for large-scale enterprise business units.

What you'll do

  • Define and own the foundational architecture for Generative AI and agentic workflow platforms.
  • Serve as the final technical authority on complex architectural decisions across multiple business domains.
  • Develop multi-year technical roadmaps for AI platform capabilities and GenAI applications in partnership with leadership.
  • Evaluate and select core technologies, including LLM orchestration frameworks, RAG systems, and observability tools.
  • Establish reference architectures and best practices for the development and deployment of GenAI applications.
  • Resolve complex technical challenges regarding system performance, reliability, and scalability for enterprise-wide AI initiatives.
  • Mentor senior engineers and technical leads on architectural thinking and engineering quality standards.
  • Create internal documentation and technical standards to ensure consistency across the AI organization.

What we're looking for

  • Master’s degree or higher in Computer Science, Engineering, Statistics, or a related field.
  • 10+ years of professional software engineering experience with expertise in large-scale distributed systems.
  • Extensive experience architecting multi-component AI/ML platforms including search, retrieval, and data platforms.
  • Proficiency with LLM orchestration frameworks like LangChain or LlamaIndex and RAG architectures.
  • Experience with workflow orchestration tools such as Airflow, Temporal, or Prefect.
  • Expertise in observability, evaluation, and tracing for GenAI systems using tools like LangSmith or Weights & Biases.
  • Strong background in full software development lifecycle ownership including CI/CD, Kubernetes, and production operations.
  • Demonstrated hands-on experience building production systems using LLMs and Generative AI technologies on AWS or Azure.

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