Senior Machine Learning Engineer

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This role is part of GEICO's AI engineering team, focusing on generative AI solutions to drive business value through LLMs, agentic systems, and knowledge-search capabilities.

$/yr – $/yr

We are seeking an accomplished Senior Staff ML Engineer who will serve as a technical leader for the generative AI domain  this individual contributor role, you will collaborate with AI and software engineers to design, develop, and deploy systems that ensure scalability, reliability, and usability of generative AI workflows and approaches across the organization.

• Own design, development and maintenance of high‑performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders. Examples include knowledge assistants, voice/text‑based conversational AI solutions, document/audio processing copilots, voice agents, robotic process automation, etc.
• Collaborate with cross‑functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
• Integrate and build solutions using GEICO AI platform architecture. Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform development.
• Ideate and build first‑of‑its‑kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
• Drive 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, ensuring the efficient allocation of resources and timely delivery of solutions.
• Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high‑performance team culture.

• 10+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments.
• Proficient in Python, Java and similar general‑purpose programming languages.
• 7 years managing end‑to‑end software development life cycle (e.g., CI/CD pipelines, Kubernetes‑based deployments, testing, monitoring & alerting, production support) for backend systems and APIs.
• 5 years in training, fine tuning, real‑time/batch inferencing and evaluation systems for AI/ML models and LLMs.
• 5 years owning end‑to‑end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.

• 5 years interfacing directly with internal business stakeholders and/or external stakeholders on AI/ML initiatives.
• 5 years working with cloud provider solutions such as Azure and AWS.
• 4 years with tools that power LLM‑based AI agents: evaluation frameworks, agent tooling, RAG pipelines, prompt engineering, etc.
• 3 years building LLM‑based AI agent workflows via both no‑code/low‑code and traditional high‑code development environments.
• 2 years of ideating, integrating, and designing applications and frontends using React or similar.
• Strong communication and problem‑solving skills to excel in dynamic, cross‑functional and ambiguous decision‑making environments.

$ – $ (general guideline; final compensation takes into account scope, experience, location, and market considerations).

Great Company
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At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers
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We offer a career where you can learn, grow, and thrive…