Overview: We are seeking an accomplished Senior ML Engineer to serve as an individual contributor to the generative AI space at GEICO. In this role, you will be collaborating with a dynamic team of AI and software engineers to design, develop, and deploy systems that drive business value. Your passion for scalability, reliability, and usability of generative AIworkflows and approaches will allow you to provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems. 

Responsibilities:  

• Contribute to the 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, help define project scope and prioritize feature backlogs. Execute pragmatic technical visions & roadmaps that balance business outcomes, product release timelines and engineering excellence. 

• Integrate and build solutions usingGEICO AI platform architecture. Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform 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.

• Participate 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. 

Basic Qualifications  

• 5 years of experience designing and building scalable production AIML applications and systems in cloud environments,   

• Proficient in Python, Java and similar general-purpose programming languages.   

• 3 years managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs  

• 2 years in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs  

• 2 years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AIML applications. 

• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field 

Preferred Qualifications:  

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

• 2 years working with cloud provider solutions such as Azure and AWS  

• 2years 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