Senior Staff Machine Learning Engineer

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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. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

GEICO is seeking a Senior Staff AI engineer to join our AI org. This person will play key senior technical leadership roles in the development of Geico’s virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy platform that ensure productivity, scalability and usability of GenAI workflows across Geico. The ideal candidate should demonstrate a proven track record of building and architecting high performance, multi-system AI/ML platforms, with hands-on experience and deep enthusiasm for Generative AI technologies. This role requires a minimum of 10 years of relevant experience.
Responsibilities:
• Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, prompt management, workflow orchestration, action execution systems, semantic knowledge graph, etc.
• System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
• Cross-functional collaboration: 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.
• Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring the efficient allocation of resources and timely delivery of solutions in conjunction of system and business dependencies.
• Technical Leadership: Lead teams of experience engineers for platform implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
• Mentorship: Mentor and guide engineers and junior tech leads by setting up engineering best practices, foster career growth, and provide guidance in emerging technical trends and tooling. Collaborate with sr. tech leads in other department to promote enterprise-wide AI best practices and contribute to internal documentations.
Minimum Qualifications
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field
• 10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
• 10+ years of experience architecting, designing and building multi-component AIML platform 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. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
• 6+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
• 6+ years’ experience with cloud providers such as Azure and AWS
• 3+ years’ experience utilizing and/or finetuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows
GEICO is seeking a Senior Staff AI engineer to join our AI org. This person will play key senior technical leadership roles in the development of Geico’s virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy platform that ensure productivity, scalability and usability of GenAI workflows across Geico. The ideal candidate should demonstrate a proven track record of building and architecting high performance, multi-system AI/ML platforms, with hands-on experience and deep enthusiasm for Generative AI technologies. This role requires a minimum of 10 years of relevant experience.
Responsibilities:
• Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, prompt management, workflow orchestration, action execution systems, semantic knowledge graph, etc.
• System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
• Cross-functional collaboration: 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.
• Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring the efficient allocation of resources and timely delivery of solutions in conjunction of system and business dependencies.
• Technical Leadership: Lead teams of experience engineers for platform implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
• Mentorship: Mentor and guide engineers and junior tech leads by setting up engineering best practices, foster career growth, and provide guidance in emerging technical trends and tooling. Collaborate with sr. tech leads in other department to promote enterprise-wide AI best practices and contribute to internal documentations.
Minimum Qualifications
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field
• 10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
• 10+ years of experience architecting, designing and building multi-component AIML platform 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. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
• 6+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
• 6+ years’ experience with cloud providers such as Azure and AWS
• 3+ years’ experience utilizing and/or finetuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows

Annual Salary

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.

The GEICO Pledge:

Great Company: Protecting customers through life’s 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.