Staff Software Engineer – AI-Native Platform

🕒 September 16

🏄 California – Remote

🏄 California – Remote

💵 $148.6k - $198.2k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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First American

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1889

🏠 Real Estate

💸 Finance

🏢 Enterprise

Real Estate • Finance • Enterprise

First American is a historical company that has been operating since 1889, evolving into a $9 billion organization with over 20,000 employees and more than 700 offices worldwide. The company provides a range of products and services that assist homebuyers, sellers, businesses, and investors in the real estate market. With a strong focus on employee engagement and culture, First American emphasizes innovation, technology, and community involvement, driving transformation within the real estate industry.

📋 Description

• Provide technical leadership across multiple engineering teams • Drive cross-organization technical strategy and lead initiatives spanning teams, products, and domains • Define architectural direction and guide long-term technical investments • Navigate ambiguity, resolve competing priorities, and build stakeholder consensus • Design and evolve AI development practices and help create AI-powered products • Define architecture for large-scale distributed systems spanning services, domains, and business capabilities • Drive consistency across APIs, event-driven systems, cloud infrastructure, reliability, security, observability, and operational excellence • Establish engineering standards and lead architectural reviews • Champion AI-assisted development, automated testing, observability, continuous delivery, and platform engineering • Mentor senior engineers and technical leads through coaching and design mentorship • Lead initiatives improving reliability, resiliency, security, and operational maturity • Define patterns for observability, production diagnostics, AI evaluation, latency budgets, cost optimization, incident response, resiliency, and governance • Partner with engineering leadership, product management, solution architecture, security, platform engineering, infrastructure, and AI practitioners

🎯 Requirements

• 8+ years of experience designing and building production software systems, including significant experience leading large-scale technical initiatives • Experience driving architecture across multiple teams, services, or business domains • Deep experience building cloud-native distributed systems • Experience designing and operating production AI systems, including LLM-powered applications and agentic workflows • Experience creating reusable engineering platforms, frameworks, libraries, or shared infrastructure adopted across multiple teams • Expertise in APIs, event-driven architectures, and highly available distributed systems • Experience establishing engineering standards, architectural patterns, and operational best practices • Experience leading technical direction through influence rather than direct management • Understanding of AI operational concerns including evaluation, model selection, latency optimization, cost management, observability, governance, and safety • Experience designing AI development workflows using tools such as Cursor, Claude Code, GitHub Copilot, or similar • Strong understanding of software architecture, cloud infrastructure, reliability engineering, and platform design • Excellent communication skills with technical and non-technical audiences • Ability to mentor senior engineers and elevate engineering organizations • Strong systems thinking and outcome-oriented mindset • Ideally, experience with enterprise AI platforms such as OpenAI, Azure OpenAI, Anthropic, and Databricks • Ideally, experience with C# (.NET), Python, TypeScript, Go, Java, or similar languages • Ideally, experience with Kubernetes, Docker, Terraform, CDK, OpenTelemetry, Prometheus, Grafana, Datadog, platform modernization, cloud migration, or regulated industries

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) • PTO/paid sick leave • Employee stock purchase plan • Inclusive, people-first workplace culture • Equal opportunity employment