AI Architect

Join the Ritz-Carlton Yacht Collection: Where Every Voyage is a Symphony of Luxury

Embark on an extraordinary journey with the Ritz-Carlton Yacht Collection, an exquisite extension of the renowned Ritz-Carlton brand, dedicated to redefining ultra-luxury hospitality at sea. As a "Lady or Gentleman" of our esteemed team, you'll be entrusted with the art of delivering the impeccable "Gold Standards" that have made the Ritz-Carlton an epitome of excellence across the globe.

The Essence of Excellence: The Gold Standards

The Gold Standards are the bedrock of the Ritz-Carlton experience, setting us apart in the industry and establishing a legacy of unparalleled service. These standards embody the values and culture that define our brand, and serve as the compass guiding our every endeavour.

The Employee Promise

At the Ritz-Carlton, our Ladies & Gentlemen are the most important resource in our service commitment to each other and our guests. By applying the principles of trust, honesty, respect, integrity, and commitment, we empower and nurture talent to the benefit of each individual and the company. The Ritz-Carlton fosters a culture where all are valued, quality of life is enhanced, individual aspirations are fulfilled, and The Ritz‑Carlton Mystique is strengthened.

Job Summary:

The AI Architect is responsible for defining, designing, and governing the organization's Artificial Intelligence strategy, architecture, platforms, and solutions. This role bridges business objectives with advanced AI capabilities, ensuring that AI initiatives are scalable, secure, compliant, and aligned with enterprise architecture standards. The AI Architect leads the design of Generative AI, Machine Learning, Agentic AI, intelligent automation, and data-driven solutions across the enterprise. The role collaborates with business stakeholders, data engineers, software developers, security teams, and cloud architects to deliver AI-powered business outcomes while maintaining governance, security, and operational excellence.

Key Responsibilities:

• AI Strategy & Architecture Define enterprise AI architecture standards, frameworks, and best practices. Develop AI technology roadmaps aligned with business objectives. Establish enterprise-wide AI governance and operating models. Evaluate emerging AI technologies and recommend adoption strategies.
• Design scalable AI platforms supporting multiple business use‑cases.
• Solution Architecture Design end‑to‑end AI solutions including: Generative AI Large Language Models (LLMs) AI Agents Machine Learning Predictive Analytics Intelligent Automation Translate business requirements into technical AI solution architectures. Develop architecture blueprints covering: Data Security Integration Model lifecycle management Deployment patterns AI Platform & Cloud Architecture: Architect AI solutions across cloud platforms such as Microsoft Azure and AWS Define AI infrastructure requirements including model hosting, vector databases and data pipeline Ensure high availability, scalability, reliability, and performance.
• Generative AI & Agentic AI Design enterprise GenAI solutions using: Azure OpenAI AWS Bedrock Anthropic Claude OpenAI Gemini Define Retrieval Augmented Generation (RAG) architectures. Architect multi‑agent systems and AI orchestration frameworks. Establish prompt engineering, evaluation, and model governance standards.
• Data & Integration Architecture Collaborate with data architects and engineers to ensure AI-ready data ecosystems. Define integration strategies with: ERP systems, CRM platforms, Data warehouses, APIs, Enterprise applications Design data pipelines and feature engineering frameworks.
• Security, Compliance & Governance Establish AI governance frameworks and policies. Ensure compliance with: Data privacy regulations Security standards Responsible AI principles Internal governance requirements Lead AI risk assessments and model validation initiatives.
• Delivery Leadership Provide architectural leadership throughout project lifecycles. Conduct architecture reviews and design approvals. Mentor AI engineers, data scientists, and solution architects. Collaborate with vendors and technology partners.
• Stakeholder Management Serve as trusted advisor to executive leadership. Present AI strategies and business cases to senior stakeholders. Communicate technical concepts to non-technical audiences. Drive enterprise AI adoption and change management initiatives.

Required Qualifications:

• Education Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
• Master's degree preferred.
• Experience 10+ years of experience in enterprise technology architecture.
• 5+ years designing and implementing AI/ML solutions.
• Experience leading large-scale enterprise trans