Principal AI Learning 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 Learning Engineer, you are an engineer by background and a learning designer by craft. You build the programs, prototypes and proof that turn emerging AI capabilities into everyday practice, primarily for developers who write and ship code, and also for builders across Expedia Group who create with AI agents and tools. Engineers trust you because you build alongside them, and they change how they work because your learning lives inside their tools and workflows.

In this role, you will

• Define the technical learning architecture for AI-native engineering at Expedia Group: role- and level-based pathways for developers (software, machine learning and data engineering) and for builders (product, program, design and business roles), mapped to role expectations.
• Build hands-on learning that lives inside the work: reference implementations, starter repositories, guided labs, agent and workflow templates, and sandboxes in the tools engineers already use. Prototype tools when they unblock learning, then hand them to owning teams.
• Convert proven patterns from business-unit engagements into reusable, teachable engineering standards, covering prompting, evaluation, AI-assisted code review, agentic delegation and responsible AI guardrails.
• Define success measures before launch and connect skill and behavior change to usage and delivery data, reporting impact on capacity, speed and quality without overstating cause and effect.
• Develop senior and principal engineers across multiple organizations into multipliers of AI-native practice, mentoring them on design and technical judgment as well as teaching, and scale through champion, lab-leader and train-the-trainer models.
• Partner with Developer Experience, Learning and Development, AI platform and business-unit technology leaders to align learning investment with platform roadmaps and business priorities, influencing across multiple organizations without formal authority.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, evaluating emerging capabilities pragmatically and deciding what becomes standard practice, what stays an experiment, and what gets retired.

Minimum Qualifications

• Bachelor's degree in Computer Science or a related technical field; or Equivalent related 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, with a record of building reference solutions other teams adopt.
• Proficiency in system design, API development and data modeling, with a working command of the large-scale distributed environments where reference patterns must run.
• Hands-on experience building, deploying or operating AI-enabled systems, tools, agents or workflows, and applying AI/ML concepts to real-world products or engineering work.
• Experience teaching engineers at scale through curricula, workshops, labs, documentation or developer education that measurably changed how teams build.
• Experience setting engineering standards or practices that were adopted across multiple teams or organizations.

Preferred Qualifications

• Background in developer relations, developer education, developer experience or AI enablement engineering, where building and teaching are the same job.
• Working command of learning science applied to technical audiences, including adult learning, deliberate practice, curriculum architecture and assessment design.
• Experience designing and productionizing LLM, agentic or AI-assisted developer workflows, including evaluation, human-in-the-loop controls and responsible AI guardrails.
• Experience measuring whether AI skills and behaviors actually improved, and connecting that to engineering productivity or business outcomes.
• A track record of turning skeptical senior engineers into adopters and partners, and scaling hands-on learning across global teams through champions or train-the-trainer models.
• Experience enabling both developers and non-engineering builders from one common, tool-agnostic framework adapted to each role's real work.
• Public evidence of building and teaching, such as talks, courses, open-source examples or technical writing.

Additional information

The total cash range for this position in Seattle is $231,000.00 to $323,500.00. Employees in this role have the potential to increase their pay up to $369,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Pay and benefits

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.