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.<div><div>Sr. Staff ML Engineer – Context Engineering </div><div> </div><div>Position Description </div><div>GEICO is seeking an experienced Sr. Staff Machine Learning Engineer to join our AI org. This person will play key roles for the development of Geico’s virtual assistant platform that elevates the productivity for 30K+ internal associates and the customer experience for millions of policyholders. 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 agentic workflows across Geico. Context engineers build centralized services that ensure seamless ingestion and consumption of internal knowledge and contextual data, giving AI agents comprehensive and up-to-update information to determine optimal next steps. The ideal candidate should demonstrate a proven track record of building high performance AI/ML platform &amp; systems, with hands-on experience and deep enthusiasm for Generative AI and related ecosystems. </div><div> </div><div>Responsibilities:  </div><div><ul><li>Own development of key platform components that power end-to-end GenAI agentic workflows. Examples include semantic knowledge graph, search, workflow orchestration, agent &amp; workflow evaluation, etc.  </li></ul></div><div><ul><li>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 for high impact business use cases. Establish pragmatic visions &amp; roadmaps that balance business outcome, product release timelines and engineering excellence. </li></ul></div><div><ul><li>Contribute to the selection, evaluation, and implementation of software platforms, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc. </li></ul></div><div><ul><li>Lead a small team of engineers for feature &amp; system implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. </li></ul></div><div><ul><li>Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company. </li></ul></div><div> </div><div>Basic Qualifications </div><div><ul><li>10+ years of experience designing and building AIML platform and systems utilizing components such as vectordb (e.g. Qdrant, Milvus, etc.), knowledge graph (e.g. neo4j), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgres sql), workflow orchestration (e.g. Airflow, Temporal).  </li></ul></div><div><ul><li>Proficient in Python, Java and similar general-purpose programming languages.  </li></ul></div><div><ul><li>7+ years’ experience managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring &amp; alerting, production support etc.) for backend systems and APIs </li></ul></div><div><ul><li>5+ years’ experience in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs </li></ul></div><div><ul><li>Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field  </li></ul></div><div> </div><div>Preferred Qualifications: </div></div><div><div><ul><li>5+ years of experience building enterprise-level semantic knowledge-graph &amp; related capabilities, such as ontology creation, knowledge ingestion, graph queries-based feature engineering, etc. </li></ul></div><div><ul><li>4+ years’ experience utilizing and/or finetuning small LLMs to build conversational experiences and agentic workflows, esp. natural-language-based query engines  </li></ul></div><div><ul><li>Strong communication and problem-solving skills to excel in dynamic, cross-functional decision-making environments  </li></ul></div></div>  Annual Salary$130,000.00 - $300,000.00The 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.  GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.  The GEICO Pledge:Great Company: 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.We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. 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: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.  You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.</li><li>Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>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.