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Introduction to the Team:

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

We are looking for a Director of Engineering to lead our Generative AI Platform team, a strategic, high-visibility platform that is responsible for enabling AI-powered experiences across the company. This leader will own the strategy, execution, and adoption of our GenAI platform ecosystem, including no-code/low-code tooling, SDKs, agent frameworks, governance, and enterprise-wide integrations.

This role is critical for accelerating innovation, driving employee productivity, and powering the next generation of traveler and partner experiences through Generative AI. The ideal candidate is a hands-on, platform-minded technologist who can balance rapid iteration with strong governance, and who can partner deeply across engineering, product, data, legal, and security.

In this role, you will:

• Define the multi-year strategy and roadmap for the GenAI Platform

• Drive a unified, scalable, vendor-agnostic architecture for LLM model access, prompt orchestration, knowledge retrieval, agent evaluations, agentic workflows, and enterprise integration

• Partner with ML Platform, Data Platform, and Infra teams to ensure scale, efficiency, cost transparency, and operational excellence

• Drive adoption through strong internal partnerships, enablement programs, documentation, templates, training, and best practices

• Build a healthy ecosystem of reusable agents, tools, MCP servers, evaluation frameworks, and shared components used across the company

• Enable measurable business outcomes in employee productivity, customer experience, and developer acceleration

• Establish strategic partnerships with vendors and manage vendor contracts

• Embed privacy, security, compliance, and Responsible AI controls into platform

• Lead and grow a world-class engineering team focused on platform excellence

• Build a culture of innovation, quality, ownership, and speed
  

Minimum Qualifications:

• 10+ years in software engineering with 5+ years leading managers and multiteam platform efforts (or equivalent), building cloud native, high scale ML/AI services and developer platforms

• Proven track record driving cross-org initiatives; expert in roadmap planning, dependency management, and stakeholder alignment with Product and TPM partners

• Deep understanding of LLMs, vector stores, retrieval, prompt engineering, agent frameworks (LangGraph, LlamaIndex, Strands, etc.), orchestration, agent evaluation and RAG

• Depth in one or more: distributed systems, low latency services, model serving/inference, cloud cost optimization (AWS preferred)

• Track record recruiting and developing diverse engineering talent and building inclusive, high-performance cultures

• Exceptional communication and influence skills, translates technical strategy into measurable business impact at the executive level

• Strong platform product thinking: you can turn ambiguous business needs into clear platform capabilities
  

Preferred Qualifications:

• Experience operationalizing Responsible AI controls (safety policies, content filtering, human-in-the-loop), privacy preserving data flows, and audited governance for model/feature access

• Familiarity with GenAI evaluation (offline rubrics/LLM-as-a-judge, human feedback) and online A/B experimentation; experience with multi provider model routing and cost/perf tradeoffs

• History partnering with Security, Legal/Privacy, and Risk to embed guardrails and auditability into platform workflows