Principal AI Forward Deployed Engineer

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.

Within CTO Enablement, the AI Enablement and Culture Office is helping Expedia Group become AI-native by turning AI experimentation into measurable business impact—creating capacity, improving speed and quality, and building AI fluency across the enterprise. As a Principal AI Forward Deployed Engineer, you will embed with teams in Business Units/Enterprise functions across EG to identify high-value opportunities, translate ambiguous business challenges into measurable outcomes, and rapidly prototype, product ionize, and scale AI-powered solutions.

You will be a highly influential technical leader who coaches senior individual contributors in leadership and engineering practices, partners with executive leaders, and turns emerging AI capabilities into reusable patterns, tools, and ways of working that teams can adopt. Combining deep hands-on engineering with strong partnership and change leadership, you will help teams adopt AI responsibly and at scale while keeping meaningful outcomes for travelers, partners, and employees at the center.

• Partner with business-unit and functional leaders, domain experts, end users, and technologists across Expedia Group to discover high-value AI opportunities, define measurable outcomes, and establish pragmatic delivery plans.
• Operate as a forward-deployed technical leader, partnering directly with business units and their teams to understand workflows, constraints, data, and systems, and owning engagements through delivery, adoption, and value realization.
• Own the full lifecycle of AI initiatives—from discovery to use‑case framing to technical design to rapid prototyping, production deployment, adoption, measurement, value realization and continuous improvement.
• Translate ambiguous business problems into measurable outcomes, explicit assumptions, data requirements, and scalable, resilient, maintainable AI‑enabled systems.
• Define and communicate a north star technology vision for AI capabilities within a business‑unit domain, workflow, or capability area with multiple teams, balancing speed to value with reliability, security, privacy, cost, and long‑term maintainability.
• Design highly complex systems that interact across a business unit, applying sound system design, API design, data modeling, observability, evaluation, and testability practices across multiple technologies and languages.
• Evaluate and select models, platforms, tools, and architectural patterns for AI use cases, including retrieval, orchestration, agentic workflows, human‑in‑the‑loop controls, and integration with enterprise systems.
• Establish and evangelize software and AI engineering standards across multiple teams, including architecture, data contracts, evaluation, testing, observability, operational excellence, security, privacy, cost management, and responsible AI.
• Convert lessons from individual deployments into reusable reference implementations, frameworks, prompts, evaluation approaches, engineering standards, and enablement materials.
• Define success measures before implementation and communicate impact across adoption, quality, productivity, capacity created, cycle time, cost, ROI, risk, and sustained business outcomes.
• Influence technical direction across multiple teams and stakeholder groups, aligning senior leaders and partners around domain strategy, trade‑offs, and measurable…