1,801,868open jobs
103,965companies
271,759added this week
Browse all
Salary
$210k – $350k per year
Location
Hybrid (Palo Alto, New York, Seattle, United States)
Seniority
Principal · 10+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 3, 2026. GEICO scores B on the Alion truth index.

Overview
Company
Impact
Profile match
GEICO is one of the largest auto insurance providers in the United States, offering comprehensive coverage for vehicles, property, and business risks. Operating as a subsidiary of Berkshire Hathaway, the company leverages a direct-to-consumer sales model along with local agents to serve tens of millions of policyholders. Headquartered in Chevy Chase, Maryland, it maintains a nationwide network of regional offices to deliver accessible risk management and claims services.

Why Join GEICO?

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.

GEICO is seeking a Distinguished Engineer (AI Platforms and Applications) to join our AI organization. This individual will serve as one of the most senior technical authorities driving the architecture, evolution, and long-term technical strategy of GEICO’s Generative AI and virtual agent platforms. This platform directly supports productivity and service quality for 20K+ contact center employees across claims, service, and sales.

In this role, you willoperatewith enterprise-wide technical influence, shaping foundational AI platform and application capabilities that enable large-scale, production-grade GenAI and agentic workflows across GEICO. You will work closely with senior engineers, architects, product leaders, and executives to define and evolve durable, scalable, and extensible AI systems that underpin multiple lines of business.

The ideal candidate brings a proventrack recordof designing and architecting complex, multi-system AI/ML platforms at scale, deep hands-onexpertise, and a strong passion for Generative AI technologies in real-world production environments.

Key Responsibilities

Enterprise Architecture & Technical Authority

  • Define, own, and evolve the foundational architecture for GEICO’s Generative AI and agentic workflow platforms.

  • Serve as a final technical authority on complex architectural decisionsimpactingmultiple 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

  • Semantic and knowledge graph systems

Platform & GenAI Applications Strategy, Architecture, and Business Impact

  • 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.

  • Balance speed, scalability, reliability, and extensibility while ensuring platforms and GenAI applications can support future AI use cases, evolving business needs, and organizational growth.

  • Influence investment decisions by evaluating build vs. buy tradeoffs and architectural choices for both the underlying platform and GenAI applications.

  • Define the reference architecture and best practices for GenAI application development, deployment, and integration, ensuring alignment with overall enterprise architecture.

  • Collaborate with business stakeholders toidentifyhigh-impact GenAIapplication 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.

System & Technology Evaluation

  • Lead evaluation and selection of core technologies,frameworks, andinfrastructure componentswithaemphasis on building andscalingGenerativeAI applications, including LLM orchestration(e.g.,LangChain,LlamaIndex), agenticworkflows, RAG systems, andevaluation/observability tooling, while partnering on underling AI platform infrastructure and services to support production readiness.

  • Ensure architectural consistency and technical rigor across open-source, cloud-agnostic, and managed service integrations.

Cross-Organization Influence

  • Collaborate across engineering, datascience, ML, product, and design organizations to align on platform and GenAI application direction, technical standards, and businessobjectives.

  • 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.

Technical Leadership & Problem Solving

  • Tackle the most 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.

  • Guideplatform and GenAI application evolution through hands-on engagement when necessary, especially in high-impact or high-risk areas.

Mentorship & Technical Stewardship

  • Mentor senior engineers and technical leads, setting a high bar for architectural thinking, engineering quality, and technical decision-making for both 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 both the AI platform and GenAI applications.

Minimum Qualifications

  • Master’s degree or higher in Computer Science, Engineering, Statistics, ora relatedfield.

  • 10+ years of professional software engineering experience, with deepexpertisein large-scale distributed systems.

  • Extensive experience architecting and building multi-component AI/ML platforms using technologies such as:

  • Search and retrieval systems (e.g., Elasticsearch,Qdrant, Milvus,Pinecone,Weaviate)

  • Data platforms (e.g., Snowflake, relational and NoSQL databases, and feature stores)

  • Streaming and distributed processing (e.g., Kafka, Spark, Ray)

  • Workflow orchestration (e.g., Airflow, Temporal, Prefect)

  • LLM orchestration and application frameworks( e.g.,LangChain,Llamaindex)

  • Observability, evaluation, and tracing for GenAIsystems (e.g.,LangSmith,ArizePhoenix, Weights & Biases,OpenTelemetry)

  • Vector databases, embedding pipelines,and retrieval-augmented generation (RAG) architectures

  • Agenticframeworksand multi-agent systems for complex task execution

  • Strong background in full software development lifecycle ownership, including CI/CD, Kubernetes, monitoring, and production operations.

  • Deep experience with major cloud platforms such as AWS and Azure.

  • Demonstrated hands-on experience building production systems using LLMs and Generative AI technologies (e.g., GPT, Llama, Mistral, Claude) to power conversational and agentic workflows.

Annual Salary

$210,000.00 - $350,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,801,868 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
Palo Alto
$97k – $306k per year • Equity • In office • 8+ years exp • Nashville
Python
Go
Java
TypeScript
AI/ML
Cursor
Claude Code
AI Agents
OpenAI Codex
DevOps
GCP
Azure
CI/CD
AWS
Apply
$97k – $306k per year • Equity • In office • 12+ years exp • Bachelor's Degree • Nashville
Python
Go
Java
C#
C++
AI/ML
AI Agents
Agentic Workflows
DevOps
CI/CD
GitOps
Platform Engineering
Apply
$105k – $235k per year • Equity • In office • 8+ years exp • Bachelor's Degree • Nashville
Python
Go
Java
C#
C++
AI/ML
AI Agents
Agentic Workflows
DevOps
CI/CD
GitOps
Platform Engineering
Cybersecurity
Least Privilege
Apply
$105k – $235k per year • Equity • In office • 8+ years exp • Bachelor's Degree • Nashville
Python
Go
Java
C#
C++
AI/ML
AI Agents
Agentic Workflows
DevOps
CI/CD
GitOps
Platform Engineering
Cybersecurity
Least Privilege
Apply
$105k – $235k per year • Equity • In office • 8+ years exp • Bachelor's Degree • Nashville
Python
Go
Java
C++
C++
TensorFlow C++
PyTorch C++
AI/ML
Prompt Engineering
AI Agents
Transformers
TensorFlow
PyTorch
LLM
RAG
Hugging Face
Machine Learning
DevOps
CI/CD
Kubernetes
Platform Engineering
Chaos Engineering
Apply
$36k – $39k per year (net) • Remote (EAEU) • Kazan
Python
JavaScript
TypeScript
SQL
1C
Databases
Weaviate
ClickHouse
Pinecone
Qdrant
ElasticSearch
OpenSearch
AI/ML
LangGraph
LangChain
Claude
ChatGPT
Dify
LlamaIndex
Jupyter Notebook
Embeddings
AI Agents
LangSmith
Promptfoo
Gemini
LLM
RAG
Reranking
DevOps
Rest API
GCP
Yandex Cloud
CI/CD
Git
AWS
Docker
Kubernetes
GitHub
GitLab
Chips/EDA
PoC Library
Analytics
Power BI
ETL/ELT
Superset
Design
Figma
Management
Miro
Confluence
Jira
YouTrack
Draw.io
n8n
QA
Swagger
Postman
Apply
$36k – $39k per year (net) • Remote (EAEU) • Kazan
Python
JavaScript
TypeScript
SQL
1C
Databases
Weaviate
Qdrant
ElasticSearch
OpenSearch
AI/ML
LangGraph
LangChain
Claude
ChatGPT
Dify
Embeddings
AI Agents
LangSmith
Promptfoo
Gemini
LLM
RAG
Reranking
DevOps
Rest API
GCP
Yandex Cloud
CI/CD
Git
AWS
Docker
Kubernetes
GitHub
GitLab
API Gateway
Chips/EDA
PoC Library
Analytics
Power BI
ETL/ELT
Superset
Design
Figma
Management
Miro
Confluence
Jira
YouTrack
Draw.io
n8n
UML
BPMN
QA
Swagger
Postman
Apply
≈ $20k – $51k per year (Estimated) • In office • Pavlodar
AI/ML
Claude
ChatGPT
AI Agents
Apply
≈ $15k – $31k per year (Estimated) • In office • Full-Time • 4+ years exp • Bachelor's Degree • Noida
Python
SQL
Python
pySpark
Databases
Snowflake
Delta Lake
Azure SQL Database
Microsoft Fabric
AI/ML
Spark
dbt
DevOps
Azure DevOps
Azure
CI/CD
Git
Analytics
Power BI
ETL/ELT
Azure Data Factory
Dimensional Modeling
Apply
≈ $33k – $79k per year (Estimated) • In office • Full-Time • PhD • Singapore
Databases
Snowflake
Databricks
AI/ML
AI Agents
Agentforce
Machine Learning
Analytics
Tableau
Management
Outlook
Agile
Marketing
Salesforce
Apply
$110k – $230k per year • Hybrid • Full-Time • 6+ years exp • Bachelor's Degree • Palo Alto • Dallas • Renton
Python
Go
Java
PowerShell
Perl
DevOps
Rest API
GCP
Azure
AWS
Cybersecurity
Okta
Active Directory
LDAP
Management
ServiceNow
Apply
Staff Engineer 17 days ago
$115k – $230k per year • In office • Full-Time • 8+ years exp • Seattle • Palo Alto
JavaScript
Java
Java
Spring Boot
Databases
Apache Kafka
AI/ML
Copilot
Cursor
Claude
LLM Guardrails
DevOps
GCP
Azure
AWS
Platform Engineering
Analytics
A/B Testing
Apply
Staff Engineer 17 days ago
$110k – $230k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • Bethesda
Python
Go
Java
SQL
C#
Databases
Trino
AI/ML
Copilot
Cursor
Spark
Claude Code
DevOps
Splunk
GCP
OpenTelemetry
Datadog
Knative
PagerDuty
Azure
CI/CD
AWS
Kubernetes
Grafana
Platform Engineering
Incident Management
Analytics
Power BI
Superset
Apply
Senior Staff Engineer 17 days ago
$120k – $260k per year • Hybrid • Full-Time • 10+ years exp • Bachelor's Degree • Bethesda
Python
Go
Java
SQL
C#
Databases
Trino
AI/ML
Copilot
Cursor
Spark
Claude Code
DevOps
Splunk
GCP
OpenTelemetry
Datadog
PagerDuty
Azure
CI/CD
AWS
Kubernetes
Grafana
Platform Engineering
Incident Management
Analytics
Power BI
Superset
Apply
$105k – $215k per year • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • Seattle • Palo Alto
Python
SQL
PowerShell
C#
C#
ASP.NET Core
DevOps
Rest API
GCP
Azure DevOps
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
$66k – $102k per year • In office • Internship • Bachelor's Degree • Palo Alto
Python
JavaScript
Kotlin
TypeScript
Ruby
Apply
$165k – $224k per year • Equity • In office • Full-Time • 1+ year exp • Bachelor's Degree • Palo Alto
Java
C#
C++
Perl
Apply
Hybrid • Internship • Bachelor's Degree • Palo Alto
Python
Java
SQL
DevOps
Rest API
Git
AWS
GitHub
Apply
$111k – $153k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Palo Alto
Cybersecurity
GDPR
Apply
≈ $42k – $74k per year (Estimated) • In office • Part-Time • Milpitas • Palo Alto • Fremont • Redwood City
Apply
See all jobs
This is one of many
1,801,868 more open roles from verified company boards, updated every day.