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Principal Applications Architect
Our client is a leading technology provider to the global travel and tourism industry, headquartered in Texas, USA. Positioned at the center of the business of travel, their platform connects people with experiences that matter in their lives. Today, our client is creating a new marketplace for personalized travel.
Job Description
Working on the Enterprise Architecture team gives you opportunities to develop your technical, business, and intercultural skills, collaborating with people from all over the world.
Principal Architect
GENERAL DESCRIPTION:
- Leads, drives, and owns the architecture and design of some of the most complex software systems.
- 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 our client 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.
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.