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Hilton Grand Vacations

Lead AI Engineer

Posted 19 hours ago
5-10 years experience
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AI Summary

The Lead AI Engineer sets the technical direction for advanced analytics, machine learning, and applied AI to improve business performance and guest experiences. They design and deliver analytical products and AI-powered solutions while governing quality and risk for production assets.

WORK FOR A WINNING TEAM THAT NOW OFFERS BENEFITS FROM DAY ONE

At Hilton Grand Vacations, you will become a part of a culture that encourages and motivates you toward achieving your goals.

Here’s why you will love it here:

  • Recognition Programs and Rewards
  • Excellent health care options, including medical, dental, and vision
  • A people-first culture
  • Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
  • Perks at work: Employee Pricing platform
  • Employee Assistance Program that supports your physical and mental well-being.
  • Paid Vacation Time and Paid Sick Days
  • 401(k) program with company match
  • Tuition reimbursement programs
  • Numerous learning and advancement opportunities
  • And more!

 

What Will I be Doing?

The Lead Data Scientist, AI Engineering sets technical direction for advanced analytics, machine learning, and applied AI that improve business performance and member/guest experience at Hilton Grand Vacations. This role designs and delivers analytical products and AI-powered solutions—from classical prediction and recommender systems to LLM-orchestrated pipelines, agents, and generative experiences—on Databricks and the broader Azure stack.

Primary domains include Inventory Management, Sales Efficiency, Marketing, Member/Guest Satisfaction, Operational Reporting, and Digital Analytics, with extensions into Pricing, Portfolio performance, and personalized member/guest experiences. The Lead partners with MLOps, Operational Reporting, IT, and product stakeholders to define scalable patterns for model and AI application lifecycle management, governs quality and risk for production assets, and elevates delivery quality across the analytics community

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