Distinguished Engineer, AI Applications

🕒 March 26

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $210k - $350k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

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GEICO

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1936

💸 Finance

Finance • Insurance

GEICO is a well-known American auto insurance company, providing coverage to a wide range of customers. As a leading provider of car insurance, GEICO is known for its innovative marketing and customer-centric services, delivering affordable insurance options. The company utilizes a user-friendly website for managing policies and claims, applying necessary online privacy measures to protect personal data and improve user experience. While primarily focused on auto insurance, GEICO also offers other types of insurance, including homeowner and renter policies.

📋 Description

• Define, own, and evolve the foundational architecture for GEICO’s Generative AI and agentic workflow platforms. • Serve as a final technical authority on complex architectural decisions impacting multiple products, teams, and business domains. • Design interconnected, high-performance, and durable platform components that power end-to-end GenAI workflows, including: Knowledge curation and management, Search and retrieval systems, Prompt and context management, Workflow orchestration and action execution, Semantic and knowledge graph systems. • Establish and drive multi-year technical strategy and roadmaps for both AI platform capabilities and Generative AI (GenAI) applications in close partnership with product and business leaders. • Balance speed, scalability, reliability, and extensibility while ensuring platforms and GenAI applications can support future AI use cases, evolving business needs, and organizational growth. • Influence investment decisions by evaluating build vs. buy tradeoffs and architectural choices for both the underlying platform and GenAI applications. • Collaborate with business stakeholders to identify high-impact GenAI application opportunities and develop strategies to maximize business value and measurable outcomes. • Ensure architectural consistency and technical rigor across open-source, cloud-agnostic, and managed service integrations. • Collaborate across engineering, data science, ML, product, and design organizations to align on platform and GenAI application direction, technical standards, and business objectives. • Drive alignment across teams by translating complex technical and business concepts into clear architectural guidance and decision frameworks. • Lead deep technical reviews, architectural assessments, and design discussions for critical AI and GenAI application initiatives. • Mentor senior engineers and technical leads, establishing best practices for platform and GenAI application design, reliability, observability, and operational excellence.

🎯 Requirements

• Master’s degree or higher in Computer Science, Engineering, Statistics, or a related field. • 10+ years of professional software engineering experience, with deep expertise in large-scale distributed systems. • Extensive experience architecting and building multi-component AI/ML platforms using technologies such as: Search and retrieval systems (e.g., Elasticsearch, Qdrant, Milvus, Pinecone, Weaviate) • Data platforms (e.g., Snowflake, relational and NoSQL databases, and feature stores) • Streaming and distributed processing (e.g., Kafka, Spark, Ray) • Workflow orchestration (e.g., Airflow, Temporal, Prefect) • LLM orchestration and application frameworks (e.g., LangChain, LlamaIndex) • Observability, evaluation, and tracing for GenAI systems (e.g., LangSmith, Arize Phoenix, Weights & Biases, OpenTelemetry) • Vector databases, embedding pipelines, and retrieval-augmented generation (RAG) architectures • Agentic frameworks and multi-agent systems for complex task execution • Strong background in full software development lifecycle ownership, including CI/CD, Kubernetes, monitoring, and production operations. • Deep experience with major cloud platforms such as AWS and Azure. • Demonstrated hands-on experience building production systems using LLMs and Generative AI technologies (e.g., GPT, Llama, Mistral, Claude) to power conversational and agentic workflows.

🏖️ Benefits

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. • Financial benefits including market-competitive compensation; 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. • Access to additional benefits like mental healthcare as well as fertility and adoption assistance. • 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.