ML Engineer

Position: Staff ML Engineer
GEICO .
For more information, please .Staff ML Engineer page is loaded## Staff ML Engineer remote type:
Hybrid locations:
Palo Alto, CA:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition :
R0062712
** 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.
**** Overview:
** We are seeking an accomplished Staff ML Engineer who will serve as a technical leader for Generative AI applications  this individual contributor role, you will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure scalability, reliability and usability of generative AI solutions, applications and workflows across GEICO. You will provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems.
** Responsibilities:
*** Take responsibility for the design, development, and maintenance of high-performance AI solutions that use agentic workflows to deliver concrete business value for internal stakeholders and customer-facing applications. Examples include AI agent orchestration, conversational AI solutions, knowledge assistants, process assistance and automation, etc.
* Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development. Establish pragmatic technical visions & roadmaps that balance business outcomes, product release timelines, and engineering excellence.
* Integrate and build solutions using GEICO’s AI platform architecture. Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform feature roadmaps and development.
* Work on first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
* Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
* Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions.
* Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.
** Basic Qualifications
*** 5+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
* 3+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
* 2+ years of experience with training, fine tuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
* Experience with the end-to-end software development life cycle (e.g. CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for Generative AI applications, backend systems, and APIs
* Experience using frameworks to build LLM-based agentic workflows such Lang Smith/Lang Graph or similar
* Experience using typical agentic communication standards such as A2A, MCP, and similar to build working multi-agent applications
* Proficient in Python, Java or similar general-purpose programming languages.
* Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field
** Preferred*
* *
* Qualifications:

*** 3+ years interfacing directly with internal business stakeholders and/or external stakeholders on AI/ML initiatives
* Extensive…