Lead Cloud AI Platforms Engineer

Exceptional Hospitality Starts with You

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

• 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.

• 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.

• 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 deploy workloads into AWS Bedrock, AWS Sage Maker Studio, Open Search, and other cloud AI and ML technologies.

• Five (5) years of professional work experience in Technology or related field
• Two (2) years of professional work experience in Machine Learning, Artificial Intelligence, Deep Learning, or Data Science
• Experience with AWS cloud architecture, especially its core services (e.g., EC2, S3, EKS, RDS, networking) and an understanding of its AI, ML and data offerings.
• Knowledge of AWS Bedrock, Sage Maker AI, LLMs, MCP, agentic frameworks, and other cloud machine learning technologies, deployment patterns and wide variety of AWS components.
• Experience with containerization and Kubernetes and automation technologies and processes using CI/CD tools.
• Experience in cloud platform engineering and tooling, including Terraform, AWS Command Line, Linux shell scripting, or Python including common AI and ML libraries
• Familiarity with cloud costing and optimization
• Solid understanding of cloud security and networking concepts.
• Travel up to 10%.

• Bachelor's Degree, or Associate's Degree plus 6 years of Technology related experience, or High School Degree/GED plus 12 years of Technology related experience.
• Seven (7) years of professional work experience in Data Science, Technology or a related field.
• Fin Ops certifications (Practitioner, Engineer, or Professional)
• Familiarity with AI and ML technologies like LLM app development, prompt engineering, data engineering, AI and ML security, logging and observability.

• Incredible travel perks – Enjoy 110 nights of deeply discounted travel, with room rates as low as $40/night at our world‑class hotels through our Go Hilton travel program
• Own a piece of Hilton – Through our employee stock purchase program (ESPP), you can invest in Hilton shares at a 15% discount to help build your financial future
• Paid parental leave – Because family matters. We offer paid leave for eligible Team Members, including partners and adoptive parents
• Personalized caregiving support – Access dedicated caregiving concierge services to help navigate caregiving for yourself and your loved ones
• Crisis concierge – In times of loss, our Crisis Concierge offers a single, compassionate point of contact for both practical support and emotional care
• Mental health…