AI Architect

The Ritz-Carlton Yacht Collection

. Define enterprise AI architecture standards, frameworks, best practices, technology roadmaps, governance, and operating models .

Posted 9/18/2026full-timeBuenos Aires • ArgentinaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise AI architectures, including Generative AI, LLMs, and AI orchestration frameworks. Proficient in cloud-native solutions across Azure and AWS, with a strong focus on AI governance, model validation, and collaboration with cross-functional teams.

Highest-signal resume keywords

Enterprise AI ArchitectureGenerative AI SolutionsCloud-Native Solutions (Azure, AWS)AI Governance and CompliancePython and SQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Architecture StandardsGenerative AIMachine LearningDeep LearningNatural Language ProcessingComputer VisionMLOpsData PipelinesModel ValidationPrompt Engineering

Soft Skills

LeadershipCollaborationCommunicationMentoringChange Management

Tools & Technologies

Microsoft AzureAWSAzure OpenAIAWS BedrockAmazon SageMakerGoogle Vertex AIDockerSnowflakeVector DatabasesETL/ELT Pipelines

Certifications & Qualifications

AWS Certified Solutions Architect ProfessionalAWS Machine Learning SpecialtyTOGAF Certification

Industry Keywords

Enterprise ArchitectureSolution ArchitectureAI GovernanceData GovernanceSystem Integration

Tech Stack

Tools & technologies

AWSAzureCloudDockerETLGoogle Cloud PlatformMicroservicesPythonSQL

About the role

Key responsibilities & impact

Define enterprise AI architecture standards, frameworks, best practices, technology roadmaps, governance, and operating models
Evaluate emerging AI technologies and design scalable AI platforms
Design end-to-end solutions for Generative AI, LLMs, AI Agents, Machine Learning, Predictive Analytics, and Intelligent Automation
Translate business requirements into technical AI solution architectures and architecture blueprints
Architect AI solutions across Microsoft Azure and AWS
Define infrastructure requirements for model hosting, vector databases, and data pipelines
Ensure high availability, scalability, reliability, and performance
Design enterprise GenAI solutions using Azure OpenAI, AWS Bedrock, Anthropic Claude, OpenAI, and Gemini
Define RAG architectures and architect multi-agent systems and AI orchestration frameworks
Establish prompt engineering, evaluation, model governance, security, compliance, and responsible AI standards
Collaborate with data architects and engineers on AI-ready data ecosystems, integrations, pipelines, and feature engineering
Lead AI risk assessments and model validation initiatives
Provide architectural leadership throughout project lifecycles and conduct architecture reviews and design approvals
Mentor AI engineers, data scientists, and solution architects
Collaborate with vendors and technology partners
Advise executive leadership, present AI strategies and business cases, and communicate technical concepts to non-technical audiences
Drive enterprise AI adoption and change management initiatives

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field
10+ years of experience in enterprise technology architecture
5+ years designing and implementing AI/ML solutions
Experience leading large-scale enterprise transformation initiatives
Experience delivering cloud-native solutions in Azure, AWS, or GCP environments
Knowledge of LLMs and Generative AI
Knowledge of AI Agents and Agentic Workflows
Knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and MLOps
Experience with Azure AI Services, Azure OpenAI, AWS Bedrock, Amazon SageMaker, and Google Vertex AI
Proficiency in Python, SQL, REST APIs, Microservices, and Docker containers
Experience with Snowflake, Vector Databases, Data Lakes, and ETL/ELT Pipelines
Knowledge of Enterprise Architecture, Solution Architecture, Security Architecture, AI Governance, Data Governance, and System Integration
Candidate must be within local travel distance to Buenos Aires, Argentina
Preferred certifications: AWS Certified Solutions Architect Professional, AWS Machine Learning Specialty, and TOGAF Certification

Benefits

Comp & perks

Equal opportunity, inclusive employer
Employee culture emphasizing trust, honesty, respect, integrity, and commitment
Quality of life enhancement and fulfillment of individual aspirations
Role begins remotely until a co-working space is found in CABA, Buenos Aires