Principal AI Forward Deployed Engineer

Principal AI Forward Deployed Engineer Introduction to the Team

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.

• 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 outcomes.
• Develop engineers, senior individual contributors, and emerging technical leaders; coach senior talent to operate independently and extend engineering practices across the organization.

• Bachelor’s degree with 12+ years of professional software engineering experience, or a master’s degree with 10+ years of professional software engineering experience or equivalent professional experience.
• Demonstrated ownership of complex systems, workflows or platforms that support a business unit or function and integrate with broader Expedia Group systems and cross‑domain capabilities.
• Deep expertise in professional software engineering practices across the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, operations, system design, API design, data modeling, and observability.
• Experience making technology and architecture choices across teams and multiple technologies or languages, while guiding others toward well‑defined solutions for complex systems.
• Hands‑on experience building, deploying, or operating AI‑enabled systems, tools, agents, or workflows and applying AI/ML concepts to real‑world products or business processes.
• Ex…