Director, Engineering - Title Automation - Remote

Who We Are Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For list for eleven consecutive years.

We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit  We DoFirst American Financial | Remote Work Welcome Be part of a transformative engineering organization that is shaping how First American builds and delivers the AI-driven systems powering modern title production.

We are looking for a Director of Engineering to own parts of the First American's title automation strategy. You will lead a distributed engineering organization through engineering managers and senior individual contributors, set technical strategy in partnership with Product, Data Science, and Title Operations, and be accountable for delivery, platform health, talent, and measurable business outcomes across your domain.

What You'll Do:

Own the Data and Document Intelligence Platform Define and evolve the architecture for a production-grade document intelligence system that extracts, structures, and governs data from title insurance documents at scale — turning unstructured document images into versioned, reusable, ML-ready data assets.

Own the platform that emits title production events to the data lake, decoupling operational systems from analytics and enabling downstream modeling and data science consumption.

Lead the development and maintenance of the canonical data model for title production — a unified ground truth that spans both manual and automated order workflows and serves as the foundation for ML training, evaluation, and automation.

Drive document classification programs, including expanding scope across new document types and geographies.

Partner with data science and AI governance teams to maintain labeled training datasets, accuracy benchmarks, and evaluation standards that underpin model trustworthiness.

Scale AI-Powered Title Automation Own the engineering programs that expand First American's AI-driven title production platform — Sequoia — across new order types, geographies, and title production scenarios.

Lead automated generation of title search packages and related outputs built on top of the structured data platform, moving proof-of-concept programs into production.

Define sequencing, investment tradeoffs, and measurable outcomes for automation programs that directly grow Sequoia's coverage and accuracy.

Set Technical Direction and AI-Ready Architecture Define architecture and engineering standards across document processing, event-driven data pipelines, data modeling, ML lifecycle, and the enterprise AI platform (Databricks, Unity Catalog, MLflow, or equivalents).Build a governed, AI-ready data foundation — metadata and lineage, data contracts, lifecycle controls, strong data quality, and open interfaces — that makes automation built on top of it trustworthy.

Set the domain's approach to responsible AI engineering: model evaluation frameworks, ground truth governance, production deployment standards, drift detection, and human accountability.

Drive technical build/buy/modernize decisions, balancing interoperability, time to value, and sound economics.

Operate as a Product Owner…