Royal Caribbean Group

Senior Gen AI Engineer

Royal Caribbean Group

full-time

Posted on:

Location Type: Office

Location: Miami • Florida • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudJavaScriptMicroservicesNext.jsPythonSQLTypeScriptVault

About the role

  • Design, develop, and deploy full-stack GenAI applications using modern cloud and AI technologies
  • Develop and maintain GenAI-powered applications using Azure AI Foundry, Azure Container Apps, Azure AI Search, and Azure Databricks
  • Integrate multi-cloud GenAI capabilities (AWS Bedrock, Google Vertex AI) as needed
  • Build scalable full-stack solutions with Next.js, Streamlit, FastAPI, Radix UI, Tailwind CSS, Zustand, and related frameworks
  • Implement secure authentication and authorization using Azure AD & MSAL
  • Design and optimize data pipelines with Databricks Serverless SQL, SQL Server, and Azure Cosmos DB
  • Develop intelligent retrieval systems using Azure AI Search
  • Manage APIs and microservices with Azure APIM and FastAPI
  • Ensure security, observability, and cost-efficiency using Azure Monitor, Log Analytics, Azure Key Vault, and Azure Cost Management
  • Apply best practices for AI model deployment, scaling, and monitoring
  • Collaborate with product managers, data engineers, and business stakeholders to deliver impactful solutions
  • Utilize AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio) to enhance productivity and code quality
  • Contribute to full-stack architecture decisions and participate in code reviews
  • Lead troubleshooting and debugging efforts for complex technical issues
  • Stay current with advancements in GenAI, machine learning, and software engineering
  • Support DevOps practices using Azure DevOps for CI/CD and infrastructure automation
  • Mentor junior engineers and share knowledge across the team

Requirements

  • 5+ years of experience in software engineering
  • 1+ years in GenAI or LLM-based application development
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • Proven hands-on expertise in full-stack development and Azure cloud services
  • Experience with enterprise identity management and secure coding practices
  • Familiarity with GenAI architectures (including RAG) and multi-cloud platforms
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio)
  • Strong coding skills in Python, JavaScript/TypeScript, and modern frameworks
  • Knowledge of cloud platforms (AWS, Azure, Google Cloud) and integration services
  • Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
  • Effective communication skills for presenting solutions to technical and non-technical stakeholders.
Benefits
  • Competitive compensation and benefits package
  • Excellent career development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
full-stack developmentGenAI application developmentdata pipeline optimizationsecure coding practicesAI model deploymentAPI managementmicroservicescloud integrationcoding in Pythoncoding in JavaScript/TypeScript
Soft skills
problem-solvingeffective communicationmentoringcollaborationtroubleshootingdebuggingknowledge sharingadaptabilityleadershiptime management
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering