Principal AI Learning Engineer

Sourced from careers.expediagroup.com

Expedia Group's AI Enablement and Culture Office is hiring a Principal AI Learning Engineer to make the company AI-native by turning AI experimentation into measurable business impact. You will combine hands-on engineering with learning design, building reference implementations, labs, agent templates, and standards that change how developers and builders work with AI. The role spans technical learning architecture, engineering standards for prompting and evaluation, and mentoring senior engineers across organizations.

• Define role- and level-based technical learning pathways for developers and AI builders across Expedia Group
• Build hands-on learning assets such as reference implementations, starter repositories, guided labs, and agent/workflow templates
• Convert proven engagement patterns into reusable engineering standards covering prompting, evaluation, AI-assisted code review, agentic delegation, and responsible AI guardrails
• Define success measures and connect skill and behavior change to usage and delivery data
• Mentor senior and principal engineers and scale learning through champion and train-the-trainer models
• Partner with Developer Experience, L&D, AI platform, and business-unit technology leaders to align learning with platform roadmaps
• Evaluate emerging AI capabilities and decide what becomes standard practice versus experiment

• Bachelor's degree in Computer Science or related technical field, or equivalent professional experience
• 10+ years of relevant professional experience
• Deep hands-on software engineering across the full development life cycle, including coding standards, code review, testing, and observability
• Proficiency in system design, API development, and data modeling in large-scale distributed environments
• Hands-on experience building, deploying, or operating AI-enabled systems, tools, agents, or workflows
• Experience teaching engineers at scale through curricula, workshops, labs, or developer education
• Experience setting engineering standards adopted across multiple teams or organizations

• Background in developer relations, developer education, developer experience, or AI enablement engineering
• Working command of learning science for technical audiences, including adult learning and assessment design
• Experience productionizing LLM, agentic, or AI-assisted developer workflows with evaluation and human-in-the-loop controls
• Experience measuring AI skill and behavior improvement against engineering productivity or business outcomes
• Public evidence of building and teaching, such as talks, courses, open-source examples, or technical writing