Principal AI Learning Engineer

Expedia Group; Seattle (WA); On-site; USD 231,000 - 324,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Employee Assistance Program

Wellness programs

Travel discounts

Job summary

Expedia Group is actively investing in AI-native engineering education within CTO Enablement. The role defines learning architectures for developers and builders, with hands-on labs and reusable patterns to accelerate adoption across the enterprise.

You will mentor senior engineers, scale training through train-the-trainer models, and align learning investments with platform roadmaps and business priorities, ensuring safe, impactful AI deployments.

Qualifications

• 10+ years of relevant professional experience.
• Hands-on software engineering across the full development life cycle.
• Proficiency in system design, API development and data modeling.
• Hands-on experience building, deploying or operating AI-enabled systems.
• Experience teaching engineers at scale through curricula, workshops, labs, documentation or developer education.
• Experience setting engineering standards across multiple teams or organizations.

Responsibilities

• Define the technical learning architecture for AI-native engineering at Expedia Group.
• Build hands-on learning inside the work: reference implementations, starter repositories, guided labs, and sandboxes.
• Convert proven patterns into reusable engineering standards, covering prompting, evaluation, AI-assisted code review, and guardrails.
• Define success measures and connect skill change to usage and delivery data.
• Develop senior and principal engineers into multipliers and scale through champion, lab-leader and train-the-trainer models.
• Partner with leaders to align learning investment with platform roadmaps and business priorities.
• Safely integrate and operate AI/ML-enabled solutions and decide standard practice vs experimentation.

Skills

Software engineering

System design

API development

Data modeling

AI-enabled systems

Education

Bachelor’s degree in Computer Science

Equivalent related professional experience

Tools

APIs

LLM tooling

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.

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.

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.

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.

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. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 to confirm work authorization.