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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Principal - **Company:** Expedia Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $231,000.0 - $369,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Sound Recording and Reproduction, Big Data, Data Architecture, Data Validation, Information Engineering, Data Mining, Data Systems, Software Design Patterns, Distributed Systems, Enterprise Information Management, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Information Technology, Video Streaming - **Published:** July 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=666401059c0d52c5 ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related technical field with 12+ years of relevant experience; or Master's degree in a related technical field with 10+ years of relevant experience; or equivalent related professional experience * Demonstrated experience defining data engineering and architecture best practices at a department or organizational level * Proficiency in one or more development languages: Java, Python, or Scala * Deep expertise in data architecture, data modeling, streaming technology, data validation, and performance optimization * Experience architecting distributed systems and building high-performance, scalable data products * Proficient communication skills with the ability to present technical strategy to executive leadership and cross-functional teams Preferred: * Experience with machine learning, data science platforms, or AI-driven solution design * Familiarity with cloud data platforms and enterprise information management * Experience with cost optimization strategies for large-scale data infrastructure * Background providing technical assessment and feedback in peer performance reviews ## Description The AI Solutions Principal is a highly influential individual contributor who shapes the technical direction of Expedia Group's data and AI capabilities. In this role, you will operate at the intersection of executive strategy and hands-on engineering - translating ambiguous business challenges into clearly scoped, delegable engineering initiatives while mentoring senior talent and advocating for scalable, future-ready solutions. In this role, you will: * Translate complex, ambiguous business requirements into well-scoped engineering projects and guide teams toward sound technology decisions. * Architect and influence complex data systems, establishing best practices, design standards, and recommended toolsets across multiple domains. * Develop and communicate a north star vision for your domain, advocating for initiatives that remove long-term technical roadblocks. * Partner with technologists across Expedia Group to collaboratively solve problems and support a community of engineering practice. * Build relationships with leaders across the organization to understand business challenges and apply a technology lens to deliver impactful solutions. * Design scalable, resilient, and highly available distributed systems for data extraction, ingestion, and large-scale data processing. * Stay current on industry trends in AI, machine learning, and data engineering - identifying opportunities for adoption and recognizing when new trends are premature or ephemeral. * Contribute to and influence organizational technology strategy, product vision, and cross-domain integration decisions. * Actively mentor senior individual contributors, identify rising talent, and coach the broader data engineering community within your domains. * Lead solution design relating to advancements in data engineering, cloud data platforms, data modeling, business intelligence, and data science. * Communicate technology choices and design patterns verbally and in writing to organization-wide audiences, including executive stakeholders. * Drive principles and practices for software that is testable, observable, cost-optimized, and operationally excellent across multi-project scopes. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project)