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Principal Software Application Architect (Hospitality Solutions)

Sabre Corporation
Southlake, TX Full Time
POSTED ON 12/4/2025 CLOSED ON 12/27/2025

What are the responsibilities and job description for the Principal Software Application Architect (Hospitality Solutions) position at Sabre Corporation?

NOTE: TPG Capital, a global alternative asset management firm, recently acquired Hospitality Solutions. Over the coming months, Sabre is working with TPG to formally separate the Hospitality Solutions business from Sabre. It is important to understand that while you will be employed by a Sabre legal entity, your role will be to support the Hospitality Solutions business, which is now owned by TPG.

Hospitality Solutions, formerly part of Sabre Holdings, is a global leader at the forefront of hospitality technology powering over 40,000 properties across 174 countries. Celebrated for our innovative and customer-centric approach, we deliver integrated platforms for distribution, reservations, retailing, and guest experience to both renowned hotel brands and independent properties worldwide.

Principal Applications Architect

Job Family: Information Technology / Software Development

Hospitality Solutions is a leading technology provider to the global travel and tourism industry, headquartered in Plano, Texas, USA. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Today, Hospitality Solutions is creating a new marketplace for personalized travel.

Job Description

Working on the Hospitality Solutions Enterprise Architecture team gives you opportunities to develop your technical, business, and intercultural skills, collaborating with people from all over the world.

Principal Applications Architect

General Description

  • Leads, drives, and owns the architecture and design of some of the most complex software systems in Hospitality Solutions.
  • Architects, designs, and implements new components and sub-systems.
  • Uses AI for productivity gains in the SDLC cycle as well as architecting for product features that use AI.
  • Innovates, envisions, develops long-term architectural strategy with emphasis on reusable components and a nimble delivery process.
  • Establishes structures and processes to ensure high levels of quality, reliability, extensibility, and security.
  • Acts as a technical and operational leader with a passion for microservices, distributed systems, and cloud service development, deployment, and delivery.
  • Accountable for the design, evolution, quality, performance, scalability, and availability of systems.
  • Actively contributes to development efforts for key system components.
  • Reviews architecture and design of existing systems and drives modernization efforts when required.
  • Delivers technical training within the engineering organization, including onboarding new engineers.
  • Partners with product management, business stakeholders, and engineering leadership to define mid- and long-term roadmaps and influence business direction; drives non-functional requirements.
  • Diagnoses system failures in production; works with technical teams to determine root causes and corrective measures.
  • Drives architectural governance, code reviews, and technology strategy for assigned components.
  • Applies fundamental skills, concepts, and practices to solve difficult engineering challenges.
  • Demonstrates broad knowledge of modern technical solutions.
  • Sets directional paths for department-wide technology adoption.

AI-Focused Responsibilities

  • Integrates AI/ML capabilities into product architecture, including personalization engines, anomaly detection, forecasting systems, and intelligent automation.
  • Defines standards and best practices for AI model lifecycle management, including data pipelines, model training, deployment, monitoring, and governance.
  • Evaluates and incorporates emerging AI frameworks, LLMs, vector databases, and retrieval-augmented generation (RAG) techniques into the platform.
  • Partners with data science and engineering teams to design scalable, cloud-native AI services.
  • Ensures responsible, secure, and ethical use of AI technologies across the organization.
  • Leads prototyping and feasibility studies on generative AI applications to accelerate developer productivity and enhance customer experience.
  • Represents multiple technology domains internally and represents Hospitality Solutions in external technical forums

Experience

  • Minimum 7 years of professional software development experience; prior technology lead experience preferred.

Necessary Skills

  • Strong hands-on experience building and running large-scale, highly available systems handling high transaction volumes.
  • Deep understanding of cloud architectures as well as GCP technology and deployment.
  • Extensive experience with Service-Oriented and microservices architecture.
  • Deep understanding of networks, queuing (MQ, Pub/Sub, TCP/IP), and caching technologies.
  • Solid experience with large-scale RDBMS systems and NoSQL stores.
  • Knowledge of document databases.
  • Strong experience designing and developing distributed systems.
  • Expertise in multi-threading and performance-oriented programming.
  • Strong abstraction, coding, and system design skills.
  • Expert knowledge of .NET (C#) and/or Java.
  • Expert-level understanding of OOP principles, design patterns, and best practices.
  • Good QA awareness and the use of AI with QA processes (Unit Tests, TDD, Performance Tests).
  • Excellent English communication skills, written and verbal.
  • Proven leadership & mentoring ability.

AI-Related Skills

  • Experience integrating machine learning or AI-driven components into enterprise systems.
  • Familiarity with ML pipelines, feature stores, model monitoring, and cloud-based AI/ML services (Vertex AI, or equivalent).

Nice To Have Skills

  • Agile
  • Git
  • Document databases
  • Oracle
  • Cassandra
  • .NET Core
  • Splunk
  • Couchbase
  • Google Cloud Platform
  • AWS
  • Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with LLM-based services or MLOps frameworks

Education

  • B.S. in Computer Science, Information Technology, Engineering, or equivalent.

Outstanding Benefits

  • Very competitive compensation
  • Generous Paid Time Off (25 PTO days)
  • 4 days (one day/quarter) Volunteer Time Off (VTO)
  • 5 days off annually for Year-End Break
  • We offer a comprehensive medical, dental and Wellness Program
  • 12 weeks paid parental leave
  • An infrastructure that allows flexible working arrangements
  • Formal and informal reward, recognition and acknowledgement programs
  • Lots of fun and engaging employee development events

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