Senior AI Platform Architect for GenAI & Agentic Workflows

GEICO; New York (NY); Hybrid; USD 210,000 - 350,000; Full time

Benefits offered by this job

Great Company

Great Careers

Great Culture

Great Rewards

Job summary

GEICO in the United States is seeking a Distinguished Engineer (AI Platforms and Applications) to lead the architecture and long‑term strategy for GEICO’s GenAI and agentic workflows. You will influence enterprise architecture across multiple products, collaborate with senior engineers, product leaders, and executives, and ensure scalable, production‑ready AI capabilities.

The role requires hands‑on expertise in building GenAI applications, LLM orchestration, and observability, with a track

Qualifications

• Master’s degree or higher in a related field.
• 10+ years of professional software engineering experience.
• Experience architecting multi-component AI/ML platforms.
• Hands-on production systems using LLMs and Generative AI technologies.

Responsibilities

• Define, own, and evolve foundational architecture for GenAI and agentic workflows.
• Drive multi-year technical strategy and roadmaps for AI platforms and GenAI apps.
• Lead evaluation and selection of core technologies for production AI platforms.
• Collaborate across teams to align on direction, standards, and business objectives.
• Provide mentorship and establish best practices for platform and GenAI app design.

Skills

Distributed systems

GenAI platforms

LLM orchestration

CI/CD

Production operations

Education

Master’s degree or higher in Computer Science, Engineering, Statistics, or a related field

Tools

Elasticsearch

Qdrant

Milvus

Pinecone

Weaviate

Snowflake

Kafka

Airflow

LangChain

LlamaIndex

OpenTelemetry

Job description

GEICO in the United States is seeking a Distinguished Engineer (AI Platforms and Applications) to lead the architecture and long‑term strategy for GEICO’s GenAI and agentic workflows. You will influence enterprise architecture across multiple products, collaborate with senior engineers, product leaders, and executives, and ensure scalable, production‑ready AI capabilities.

The role requires hands‑on expertise in building GenAI applications, LLM orchestration, and observability, with a track