Director, Machine Learning

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

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Director Machine Learning Engineer – Gen AI

Position Description
GEICO is seeking an experienced Director Machine Learning Engineer – Gen AI to join our AI org. This person will play key roles for the development of Geico’s Gen AI applications across different business lines. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure productivity, scalability and usability of GenAI workflows across Geico. Will implement GenAI solutions for business stakeholders with both proven capabilities and experimental features, while synthesizing valuable insights to influence the product roadmap of the platform. The ideal candidate should demonstrate a proven track record of building high performance AI solutions, with hands-on experience in Generative AI-related ecosystems.

Responsibilities:

• Own design, development and maintenance of high-performance AI solutions that utilizes agentic workflows to deliver concrete business value for internal stakeholders. Examples include knowledge assistants, document processing copilots, voice agents, etc.
• Manage a high performing team to deliver real-world AI at scale.
• Key responsibilities include managing roadmaps, building team capability, and communicating with senior stakeholders.
• Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, 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.
• Assist in project planning, ensuring the efficient allocation of resources and timely delivery of solutions.
• Guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.

Basic Qualifications

• 10+ years of professional software development experience with general-purpose programming languages such as Java, C++, Python, TypeScript, etc.
• Experience architecting, building & deploying end-to-end AI solutions utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. Cassandra), distributed processing (e.g. Spark, Ray), workflow orchestration (e.g. Airflow, Temporal), etc. Balance craft, ownership, and speed.
• History of managing end-to-end solution development life cycle, esp. Measurement and monitoring of operations metrics, analytical insights and business outcomes via dashboards and other tools.
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Preferred Qualifications:

• Experience interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives

• Worked with cloud providers such as Azure and AWS
• Expertise building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
• Familiarity with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.
• Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments

 

Annual Salary

$150,000.00 - $300,000.00

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 posit