Senior AI Engineer

Expedia Expedia · Hospitality · Austin Domain 11 - HomeAway, USA - Illinois - Chicago, Washington - Seattle

Senior AI Engineer role focused on building and scaling AI-powered solutions, including intelligent agents and workflow automation, within Expedia Group's B2B marketing technology and digital operations. The role involves owning the AI roadmap, end-to-end delivery of AI products, integrating LLMs and enterprise data, and operationalizing AI models in production.

What you'd actually do

  1. Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business objectives, customer needs, and organizational priorities.
  2. Lead end-to-end delivery of AI products and solutions — from ideation, business case development, and prototyping through production deployment, adoption, and continuous optimization.
  3. Design, develop, and deploy AI-enabled applications, copilots, intelligent agents, and workflow automation solutions that improve campaign execution, content creation, reporting, and operational workflows.
  4. Integrate LLMs, enterprise data platforms, APIs, and marketing technologies to create end-to-end AI experiences, including retrieval-augmented generation (RAG) applications and intelligent knowledge assistants.
  5. Partner with leaders across Marketing Operations, Web, Paid Media, CRM, Analytics, and Data Engineering to identify opportunities where AI can fundamentally transform workflows and decision-making.

Skills

Required

  • Python
  • AI frameworks and platforms (OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AWS Bedrock, Vertex AI)
  • MLOps tools and platforms (AWS SageMaker, Bedrock, MLflow, Weights & Biases, Databricks)
  • Cloud platforms (AWS preferred)
  • Deploying scalable AI services, APIs, and microservices
  • Operationalizing AI/ML models in production
  • Integrating AI solutions with enterprise applications, APIs, cloud platforms, and data ecosystems
  • Communication skills

Nice to have

  • Marketing technology
  • CRM systems
  • Marketing automation platforms
  • Personalization engines
  • Salesforce
  • Adobe Experience Cloud
  • Marketo
  • Braze
  • Enterprise AI copilots, assistants, or agent-based automation solutions
  • AI governance
  • Responsible AI practices
  • Enterprise AI adoption strategies
  • AI transformation initiatives

What the JD emphasized

  • 3+ years of experience building AI, Generative AI, LLM, automation, or intelligent workflow solutions
  • Proficiency in Python
  • Strong experience with AI frameworks and platforms such as OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AWS Bedrock, Vertex AI, or similar technologies
  • Proficiency with MLOps tools and platforms including AWS SageMaker, Bedrock, MLflow, Weights & Biases, or Databricks
  • Proven track record of operationalizing AI/ML models in production environments with monitoring, observability, and performance optimization

Other signals

  • AI Engineering roadmap
  • end-to-end delivery of AI products
  • integrating LLMs, enterprise data platforms, APIs
  • operationalizing AI/ML models in production