Hiring: Director, Engineering - Title Automation - Remote Company: First American Location: Santa Ana, CA Job Posted Time: 2026-09-16 23:16:42 Employment Type: Remote Target Skills & Keywords : CI/CD, Data Lake, Data Pipeline, Data Warehouse, Databricks, Event-Driven, Infrastructure as Code, MLflow, Machine Learning, Snowflake About the job Required Skills: •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. •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. Qualifications: •Deep technical fluency in distributed data processing, data lakes and lakehouses, cloud data warehouses, event-driven architectures, ingestion, orchestration, and production pipelines. •Technical fluency in AI/ML lifecycle management — model evaluation, ground truth governance, production deployment, versioning, and drift detection. •In-depth knowledge of cloud networking, identity and access, storage, compute, resilience, and cloud-native services. •Technical fluency in Infrastructure as Code and CI/CD, with experience guiding automated provisioning and delivery including quality and governance controls. •Strong architectural and vendor judgment, including evidence-based build/buy tradeoffs across durability, time to value, interoperability, operability, and cost. •A record of setting technical strategy, guiding investment decisions, and delivering measurable business outcomes in partnership with Product and business leaders. •Practical expertise in operational excellence, governance, security, data quality, cost management, and performance at scale. •Excellent executive communication and change leadership, with the ability to build alignment and explain the business consequences of technical choices. •Inclusive leadership and a record of developing engineering managers, building a leadership bench, and creating accountability for sustained outcomes. •Ideally, You'll Also Have Experience With Modern lakehouse and cloud data warehouse platforms such as Databricks, Snowflake, or equivalents, including Unity Catalog, MLflow, or comparable data and ML governance tooling. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!