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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

large-scale distributed systemsAI/ML platformsSearch and retrieval systemsdata platformsstreaming and distributed processingworkflow orchestrationLLM orchestrationobservability for GenAI systemsproduction systems using LLMsfull software development lifecycle

Soft Skills

technical authoritycollaborationmentorshiparchitectural guidanceinfluence investment decisionsdrive alignmenttranslate complex conceptsestablish best practicesstrategic thinkingcommunication

Certifications

Master’s degree in Computer ScienceMaster’s degree in EngineeringMaster’s degree in Statistics