Distinguished Machine Learning Engineer
Palo Alto, CA - USA
Job Summary
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. Thats why we offer the GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers.
Distinguished Engineer
GEICO is seeking a Distinguished Engineer (AI Platforms) 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 GEICOs 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 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 GEICOs 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 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.
System & Technology Evaluation
Lead evaluation and selection of core technologies frameworks and infrastructure componentswithaemphasis on building andscalingGenerativeAI applications including LLM orchestration(e.g.LangChainLlamaIndex) 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 data science 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-onengagementwhen 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
Masters 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-componentAI/ML platforms using technologies such as:
Search and retrieval systems (e.g. ElasticsearchQdrant MilvusPineconeWeaviate)
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.LangChainLlamaindex)
Observability evaluation and tracing for GenAI systems (e.g.LangSmithArizePhoenix Weights & BiasesOpenTelemetry)
Vector databases embedding pipelinesand 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
$210000.00 - $350000.00The 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 candidates work experience education and training the work location as well as market and business considerations.
The GEICO Pledge:
Great Company:Protecting customers through lifes 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.
Required Experience:
IC
About Company
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