Distinguished Machine Learning Engineer

## Distinguished Machine Learning Engineer Apply locations:
Palo Alto, CA:
New York City, NY:
Bethesda, MD:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition :
R0063191
** 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.
**** 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 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  this role, you will operate with 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 proven track record of designing and architecting complex, multi-system AI/ML platforms at scale, deep hands-on expertise, 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 decisions impacting multiple 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 to identify high-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 components with a emphasis on building and scaling Generative AI applications, including LLM orchestration(e.g., Lang Chain, Llama Index), agentic workflows, RAG systems, and evaluation/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.
**…