Distinguished Engineer - Applied AI

GEICO . For more information, please .Distinguished Engineer - Applied AI page is loaded## Distinguished Engineer - Applied AIremote type:
Hybrid locations:
Palo Alto, CA:
Chevy Chase, MDtime type:
Full time posted on:
Posted Todayjob requisition : R
** At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
**** Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
**** When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge:
Great Company, Great Culture, Great Rewards and Great Careers.
** We are looking for a Distinguished Engineer-Applied AI to lead how Generative AI transforms the claims experience from intake to settlement. This is a hands-on, senior individual contributor role for someone who combines deep technical skills and the ability to apply AI in complex, real-world systems.

You will work closely with engineers, claims domain experts, and data scientists to design and deploy AI-native capabilities that make claims faster, more accurate, and more transparent. Your mission is to prototype, validate, and scale intelligent systems that reduce manual effort, improve decisions, and elevate customer experience all while setting a high bar for technical and ethical AI use in insurance.
** What you will do
*** Design and lead applied AI initiatives across the claim lifecycle (e.g., Claim intake, automation, document understanding, adjuster assist, fraud detection, coverage reasoning).
* Prototype and build GenAI-powered tools from RAG pipelines and domain-tuned LLMs to intelligent workflow agents that operate on structured and unstructured claims data.
* Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production.
* Collaborate cross-functionally with product, data, and claims operations to translate pain points into scalable AI solutions.
* Guide a small team of engineers and scientists by influence, providing technical direction and mentorship on AI architecture, experimentation, and deployment.
* Set standards for AI reliability, interpretability, and governance tailored to claims and regulatory constraints.
* Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in claims contexts. What we are looking for
** Must-Have
*** 5+ years of experience in applied machine learning or AI product engineering, including 2+ years working with Generative AI or LLMs.
* Deep hands-on expertise in Python, Lang Chain, Llama Index, Hugging Face, or OpenAI/Anthropic APIs.
* Proven ability to design, prototype, and ship AI solutions in real-world domains (e.g., insurance, healthcare, finance, or legal).
* Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design.
* Ability to lead through influence, driving vision, technical direction, and experimentation within a small, cross-functional team.
* A track record of turning research ideas into working products with measurable outcomes.
* Experience in building machine learning models.
* Experience in applying AI to business or engineering needs.
** Nice-to-Have:
*** Experience in claims, insurance, or regulated data systems.
* Experience in building and running AI applications in Java (Spring AI, Langchain4j, Embabel...)
* Background in document intelligence, fraud modeling, or knowledge graph reasoning.
* Familiarity with AI safety, evaluation frameworks, and compliance practices.
* Strong communication skills capable of articulating technical insights to business and product stakeholders.
** Who you are
*** A builder first hands-on with code, experiments, and prototypes.
* A strategic thinker who connects emerging AI capability with tangible business impact.
* A collaborative problem solver who thrives in ambiguous, high-ownership environments.
* Motivated by…