✦ Luna Orbit — AI & Machine Learning

Senior Manager, Enterprise AI Engineering

at Expedia Group

📍 Austin Domain 11 - HomeAway Unknown 💰 $156K – $219K USD / year Posted April 17, 2026
Salary $156K – $219K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education Bachelor's Degree or Equivalent Level; Technical Degree Preferre
Category AI & Machine Learning

This role leads Enterprise AI Engineering for Expedia Group, focusing on administering and architecting the Enterprise Search and AI assistant ecosystem. The Senior Manager will connect data silos, enforce granular security governance, and build AI agents that improve productivity through secure, scalable LLM-driven deployments.

  • Lead design, development, and deployment of AI-driven SaaS platforms
  • Build custom AI agents and connect data silos to LLMs
  • Enforce system architecture standards including API design and low-level system design
  • Advocate operational excellence (reliability, security, performance) across SDLC
  • Drive safe adoption and integration of AI/ML technologies, tools, and workflows

The technical scope centers on building and deploying AI-driven SaaS capabilities powered by machine learning, advanced data modeling, and Large Language Models (LLMs). Work includes architecture standards (API design and low-level system design), secure and scalable integration, and operational excellence across reliability, security, and performance over the software development lifecycle.

The ideal candidate is a senior engineering leader who has architected and operated an enterprise AI ecosystem focused on Enterprise Search and AI assistant capabilities. They have strong LLM and AI-agent integration experience, with a proven track record of enforcing security governance and delivering scalable, highly adopted AI/ML-powered SaaS platforms.

Lead the designdevelopmentand deployment of AI-driven SaaS platformsDevelop and enforce system architecture standardsincluding API design and low-level system designDrive cross-functional teams to define and deliver product capabilities powered by machine learning and advanced data modelingEnsure granular security governanceBuild custom AI agents that drive productivityBridge internal data and Large Language Models (LLMs) to ensure securescalableand highly adopted deploymentAdvocate for operational excellence including reliabilitysecurityand performance best practices
Large Language Models (LLMs)AI/ML
Enterprise SearchAI assistant technologyLarge Language Models (LLMs)AI agent engineeringsecurity governancedata silo integrationAI-driven SaaS platformssystem architecture standardsAPI designlow-level system designoperational excellencereliabilitysecurityperformance best practicessoftware development lifecyclemachine learningadvanced data modelingAI/ML adoption
Enterprise SearchAI assistant technologyarchitecting AI systemsadministering AI platformsLarge Language Models (LLMs)LLM integrationsecurity governancegranular security governancedata silo integrationAI agent engineeringdesigndevelopmentand deployment of AI-driven SaaS platformssystem architecture standardsAPI designlow-level system designsecure integrationscalable solutionsreliability best practicessecurity best practicesperformance best practicessoftware development lifecycleAI/ML conceptsmachine learningadvanced data modelingoperational excellence
cross-functional leadershipmentorshiptechnical mentorshipcollaborationcontinuous improvementdata-driven decision makingproduct-focused communicationstakeholder managementinnovation
Industry SaaS
Job Function Architect and lead the engineering of an enterprise AI ecosystem centered on Enterprise Search and AI assistants.
Role Subtype AI Engineer
Tech Domains Python, AI & Machine Learning
Senior ManagerEnterprise AI EngineeringEnterprise SearchAI assistantLarge Language Models (LLMs)LLMsAI-driven SaaS platformsSaaS platformsmachine learningadvanced data modelingsystem architectureAPI designlow-level system designsecurity governanceoperational excellencereliabilitysecurityperformance best practicessoftware development lifecycleAI/ML technologiesAI agentsdata silossecure integrationscalablehighly adopted

Must have experience building or deploying AI/ML systems with Large Language Models (LLMs), Must have led development of AI-driven SaaS platforms and enforced system architecture standards (including API design)

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