Principal Data & AI Engineer, Reporting and Insights

Expedia Expedia · Hospitality · CA

Principal Data & AI Engineer responsible for defining and implementing Expedia Group's AI-powered reporting and insights strategy. This role involves leading data integration, architecture, and AI-enabled delivery using LLMs, RAG, and agentic workflows, while ensuring responsible AI practices and evaluating enterprise AI platforms.

What you'd actually do

  1. Own the AI-powered reporting and insights strategy from data ingestion through executive delivery, creating a unified approach to dashboards, metrics, narratives, and self-service insight products.
  2. Lead the Data Integrations and Enablement Platform, including the reporting data architecture, pipelines, and infrastructure needed to support trusted, scalable reporting.
  3. Integrate business intelligence, metrics, and AI-assisted reporting into a connected capability that improves quality, speed, and usability for leaders and teams.
  4. Design and implement LLM-powered reporting workflows, including prompt engineering, retrieval-augmented generation (RAG), and agentic pipelines, to automate narrative generation, surface anomalies, and deliver self-service insight products.
  5. Establish governance standards for executive-facing AI outputs, including hallucination mitigation, validation, accuracy monitoring, and responsible AI practices.

Skills

Required

  • Python
  • SQL
  • data engineering
  • pipeline development
  • analytics
  • AI/ML integration
  • prompt engineering
  • RAG architectures
  • agentic workflows
  • LangChain
  • LlamaIndex
  • Azure OpenAI
  • AWS Bedrock
  • Google Vertex AI

Nice to have

  • leading cross-functional data or analytics programs
  • agentic AI systems
  • natural language interfaces for analytics
  • NL-to-SQL
  • conversational BI patterns
  • AI output governance
  • evaluation frameworks
  • confidence scoring
  • escalation patterns
  • risk management
  • Spark
  • Flink
  • Iceberg
  • Snowflake
  • Databricks
  • Delta Lake
  • real-time data patterns
  • event-driven data patterns
  • low-latency insight delivery
  • executive communication
  • responsible AI principles
  • explainability
  • auditability
  • trust in AI-generated summaries and recommendations

What the JD emphasized

  • 3+ years of hands-on experience building or deploying AI/ML or LLM-based applications, including prompt engineering, RAG architectures, or agentic workflows using frameworks such as LangChain, LlamaIndex, or equivalent tools.
  • 2+ years of experience with at least one enterprise AI platform, such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or an equivalent platform.
  • Experience designing and operating agentic AI systems that generate reports, answer data questions, or monitor metrics with minimal human intervention.
  • Understanding AI output governance, including evaluation frameworks, confidence scoring, escalation patterns, and risk management for executive reporting use cases.

Other signals

  • AI-powered reporting and insights strategy
  • LLM-powered reporting workflows
  • agentic AI workflows
  • enterprise AI platforms
  • responsible AI practices