Lead Cloud AI Platforms Engineer

Company: Hilton

Location: Addison, TX 75001 (Remote)

Salary: $110,000 - $175,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-04-14

About this role

Lead Cloud AI Platforms Engineer

\*\*\*This role is based at one of our corporate offices in Memphis, TN, McLean, VA, Dallas, TX or Remote\*\*\*

### Exceptional Hospitality Starts with You

This is your chance to be a part of an in-house Technology team that's creating consumer-facing, cutting-edge technologies revolutionizing the hospitality industry around the world! As a Lead Cloud AI Platforms Engineer,you will bring your technical skills to a hospitality company with an award-winning culture. On the Cloud Engineering team reporting to the Senior Manager Cloud Platforms, you will support projects including projects for Hilton's Data Science, Distribution, and Call Center teams.

What you'll do during a typical day:

  • Be the lead technical expert on a team of Cloud AI Platform Engineers.
  • Communicate with team members and keep project delivery on target.
  • Identify opportunities for AI, ML and data infrastructure automation using Infrastructure as Code, improvements in configuration management, monitoring, alerting, and create solutions for complex cloud infrastructure challenges.

How you'll collaborate with others:

  • Support Hilton's Cloud AI and ML platforms including LLM application development, prompt engineering, data engineering, LLM safeguards, testing, and go-to-market strategies.
  • Support the Hilton Hybrid Cloud environment, including escalation support for operations and support teams, participate in on-call rotations, and work alongside other engineering teams to ensure adherence to Hilton standards and processes.
  • Understand Hilton's security policies and provide detailed guidance on vulnerability management to the cloud estate.

Projects you'll take ownership of:

  • Be a technical expert to different parts of the business, consult business and application teams on AI and ML cloud patterns, and build AI and ML solutions using infrastructure as code tools (IAC) and processes and other popular cloud tools.
  • Assist teams to deplo...

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