Staff Software Engineer (AI-Native Platform) - Remote

About the role

First American (NYSE: FAF) is a people‑first organization with a long history (since 1889) and a culture that has earned repeated Fortune 100 Best Companies to Work For recognition, as well as awards for women, diversity, LGBTQ+ inclusion and many regional best‑places‑to‑work lists. The Remote Work Welcome team is part of a transformative engineering organization shaping how First American builds and delivers world‑class AI‑native technology products that power the real estate industry.

Responsibilities

• Drive cross‑organization technical strategy: lead technical initiatives spanning multiple teams, products, and domains; define architectural direction; align engineering organizations around common approaches; guide long‑term technical investments that improve scalability, reliability, and developer productivity.
• Navigate ambiguity, resolve competing priorities, and build consensus across engineering, product, and business stakeholders.
• Build with AI: design and evolve AI development practices; help drive creation of AI‑powered products.
• Architect complex distributed systems: define architecture for large‑scale, distributed systems spanning services, domains, and business capabilities; drive consistency around APIs, event‑driven systems, cloud infrastructure, reliability, security, observability, operational excellence; simplify systems through abstractions and reusable patterns.
• Raise the engineering bar: establish engineering standards that improve software quality; lead architectural reviews; influence design decisions; champion modern practices including AI‑assisted development, automated testing, observability, continuous delivery, platform engineering.
• Mentor technical leaders: multiply effectiveness of senior engineers through coaching, architectural guidance, design mentorship; help engineers grow system thinking, technical judgment, decision‑making; foster engineering culture centered on curiosity, ownership, continuous improvement.
• Drive operational excellence: lead initiatives that improve reliability, resiliency, security, operational maturity; define engineering patterns for observability, production diagnostics, AI evaluation, latency budgets, cost optimization, incident response, resiliency, governance; establish measurable standards that improve production system health over time.
• Collaborate across the organization: partner with engineering leadership, product management, solution architecture, security, platform engineering, infrastructure, AI practitioners to translate business strategy into scalable technical solutions; influence decisions through technical expertise, data, and strong