Enterprise AI Engineer III

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Enterprise AI Engineer III The AI & Automation Team onboards and manages AI tools, and partners with teams across Expedia Group to create innovative products and services. We deliver high-quality experiences for employees worldwide with best-in-class technology to boost productivity and enable AI in the flow of work. We're hiring an Enterprise AI Engineer III to own the design, engineering, and continuous improvement of our cloud infrastructure and enterprise AI systems, as part of our growing team. You'll work at the intersection of platform engineering and AI, owning service and integration architectures, driving IaC and automation strategy, and enabling other engineers through high-quality patterns, decision records, and mentorship. In this role, you will: Own service and integration architecture for AI platforms and enterprise systems — designing for security, cost-efficiency, and long-term operability from the start. Design and implement reusable IaC modules and automation frameworks; enforce policy-as-code and reduce operational toil at scale. Lead incident resolution, RCA, and post-incident analysis across teams; prevent recurrence through automation and architectural improvements. Design integration architectures connecting internal platforms and enterprise SaaS systems; ensure security, compliance, and scalability of data and workflow flows. Define SLOs and engineer actionable observability — telemetry pipelines, synthetic tests, and alerting — to give teams the signals they need to operate confidently. Champion automation and SaaS integration best practices; measure toil reduction and drive adoption across the team. Design cross-team operational flows; optimize handoffs, runbooks, and escalation paths to reduce failure demand. Author architecture decision records, technical design documents, and self-service content that enable teams to move faster without creating dependencies on you. Forecast capacity and cost impacts; surface data-driven recommendations to inform infrastructure investment decisions. Mentor junior and mid-level engineers; define documentation templates and engineering standards that scale your expertise across the team.

5+ years of experience in infrastructure, platform, or enterprise systems engineering (or 3+ years with a Master's degree). Bachelor's degree or equivalent practical experience in a relevant field; technical degree preferred. Demonstrated growth mindset and the ability to own initiatives end-to-end — from problem framing through delivery — while coordinating a broad range of stakeholders across platform, security, and business teams. Hands-on, design-level experience with public cloud IaaS (AWS, Azure, or GCP) — compute, networking, storage, IAM — paired with ownership of IaC automation (Terraform, Pulumi, or equivalent), including building reusable modules and policy-as-code frameworks. Proficiency in at least one programming language (Python, Go, or similar), with a track record of building automation that reduces operational toil, forecasting capacity, and making cost-aware recommendations. Experience designing integration architectures for SaaS platforms or enterprise systems, including lifecycle management,