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AI Engineer III
Expedia
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About this role
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.
AI Engineer III Customer Data Platform at EG builds innovative products, services, and tools to deliver high-quality data experiences for travelers, partners, and our internal teams. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.
As an AI Engineer, you will lead projects, design and build scalable, reliable data services and pipelines by leveraging AI tools and technologies that power analytics, reporting, and data-driven product experiences. You will combine strong software engineering fundamentals with data engineering and AI skills to deliver secure, high-quality data products on modern cloud infrastructure.
In this role, you will: • Own and evolve complex, business‑critical data products end to end — from technical design and implementation through deployment, monitoring, and day‑to‑day production support, escalating appropriately on the most complex or cross‑org decisions • Apply modern engineering practices and use AI as a co‑pilot across the software development lifecycle to clarify requirements, explore designs, accelerate coding, strengthen automated testing, and improve operational excellence and reliability • Collaborate with partners across engineering, product, data, and business functions — contributing to cross‑team designs, surfacing trade‑offs clearly, and helping align simple, resilient solutions • Design and integrate services, APIs, and data models so that high‑quality data and capabilities are easily consumable by both human users and AI systems, working within established architectural patterns and guardrail • Share knowledge and mentor others, especially earlier‑career engineers, through code reviews, pairing, and design discussions — including helping teammates use AI tools effectively and responsibly as part of their daily workflow
Experience & Qualifications: • Bachelor’s degree in computer science or a related technical field; or Equivalent related professional experience • 5+ years of relevant professional experience • Experience with owning data products, with demonstrated impact within a domain or product • Proven experience delivering at least one significant end to end service or product within a product or domain using AI tools(like Claude, Codex, copilot). • Proficiency in at least one modern programming language (like Java, Scala) and strong computer science fundamentals (data structures, algorithms, object-oriented or functional design), with hands-on experience in system design (LLD), API design, and data modeling • Experience working with data pipelines, batch and stream, including building, consuming, and evolving them.
Preferred Qualifications: • Experience designing and building reliable, scalable systems on cloud platforms, including contributing to service boundaries, resilience mechanisms, and operational best practices • Strong proficiency using AI tools and techniques as part of everyday software engineering work (for example, exploring implementation options, generating and hardening code, enhancing test coverage, or analyzing production behavior), with sound judgment about when human‑only review is required • Experience developing frameworks for AI-driven coding agents, including MCP and spec-driven development methodologies • Experience defining and enforcing AI governance practices to ensure responsible, secure, and compliant AI system development • Experience with big data technologies like Spark, Kafka, Flink and no-SQL data stores like Cassandra, Scylla and Iceberg. • Demonstrated ability to collaborate and influence across disciplines — partnering with engineering, product, and data stakeholders to move designs forward, unblock dependencies, and land changes that span multiple teams • Track record of leading technical workstreams that simplify components or services, improve performance or reliability, or increase developer productivity within and adjacent to your team
#LI-MC!
The total cash range for this position in Austin is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, 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.
Salary insight
The midpoint of this range ($175k) is about 5% above the median disclosed salary for Austin roles listed on ForgeApply ($166k across 818 jobs).
See full Machine Learning Engineer salary data for Austin →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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