Principal AI Platform Architect (Hybrid)

IHG Hotels & Resorts

Atlanta (GA)

Hybrid

USD 180,000 - 320,000

Full time

8 days ago
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Benefits offered by this job

Room discounts
Recharge days
Volunteer days
Wellbeing programs

Job summary

IHG Hotels & Resorts seeks a Principal Software Engineer to lead AI strategy and architecture across the company. You will define long-term technical direction and mentor senior engineers, building scalable AI platforms and core services.

You will influence product and engineering teams, tackle high-risk R&D, and champion best practices from model training to deployment and ethics, while operating in a hybrid work environment.

Qualifications

  • Bachelor’s or Master’s degree in a relevant field or equivalent experience.
  • 10+ years of progressive work experience in software engineering and AI.
  • Experience leading geographically dispersed teams and multi-team programs.
  • Proven track record as Principal/Lead/Senior engineer with strategic impact.
  • Experience presenting to executive leadership on technical topics.

Responsibilities

  • Define and drive long-term AI technical strategy for the company.
  • Design and prototype foundational AI platforms, frameworks, and core services.
  • Act as the lead technical consultant on AI for product and engineering teams.
  • Tackle complex, mission-critical problems and lead high‑risk R&D initiatives.
  • Mentor Lead and Senior engineers to elevate architectural and design skills.
  • Establish and evangelize best practices, patterns, and standards for AI development.

Skills

AI strategy
Technical leadership
Architectural design
Communication
Agile
Problem solving

Education

Bachelor's or Master's degree

Tools

TensorFlow
PyTorch
LangChain
Hugging Face
Google Gemini
GCP
AWS
Azure
Docker
Kubernetes
REST
gRPC

Job description

IHG Hotels & Resorts seeks a Principal Software Engineer to lead AI strategy and architecture across the company. You will define long-term technical direction and mentor senior engineers, building scalable AI platforms and core services.

You will influence product and engineering teams, tackle high-risk R&D, and champion best practices from model training to deployment and ethics, while operating in a hybrid work environment.

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