Enterprise AI Engineer II - Expedia Group

Polluxa, Inc.; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Expedia Group is seeking an Enterprise AI Engineer II to own the design, engineering, and continuous improvement of our cloud infrastructure and enterprise AI systems in Austin. You will work at the intersection of platform engineering and AI to support scalable, secure solutions.

You'll lead building reusable IaC modules, drive automation, and mentor engineers while shaping observability, cost controls, and data governance across teams to accelerate AI initiatives and deliver reliable services

Responsibilities

• 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.

Job description

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 II

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 II 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, supporting 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.

Minimum qualifications