Lead, GenAI Engineer

Royal Caribbean Cruises LtdMiami, FL
Onsite

About The Position

We are seeking a visionary Lead, Gen AI Engineer to join our Gen AI Solutions team within the AI & Analytics department. This role will lead the development of full-stack Gen AI applications using a modern Azure-based technology stack. You will collaborate with business stakeholders, data engineers, data scientists, and product managers to deliver intelligent solutions that enhance operational efficiency and guest experiences.

Requirements

  • 7+ years of experience in software engineering, with 2+ years in Gen AI or LLM-based application development.
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proven expertise in full-stack development and Azure cloud services.
  • Deep understanding of Gen AI architectures including RAG.
  • Experience with enterprise identity management and secure coding practices.
  • Familiarity with Microsoft Copilot Studio and multi-cloud Gen AI platforms.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their integration services.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong communication skills and ability to present solutions to technical and non-technical stakeholders.

Responsibilities

  • Architect and develop Gen AI-powered applications using Azure AI Foundry, Azure Container Apps, Azure AI Search, and Azure Databricks.
  • Integrate multi-cloud Gen AI capabilities including AWS Bedrock and Google Vertex AI when necessary.
  • Build scalable full-stack solutions using Next.js, Streamlit, FastAPI, Radix UI, Tailwind CSS, and Zustand.
  • Implement secure authentication and authorization using Azure AD & MSAL.
  • Design and optimize data pipelines using 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.
  • Stay up to date with the latest advancements in AI and machine learning technologies to drive continuous improvement and innovation.
  • Develop and implement best practices for AI model deployment, scaling, and monitoring.
  • Design and execute integration strategies for incorporating large language models (LLMs) and CoPilot technologies with existing business platforms.
  • Lead DevOps practices using Azure DevOps for CI/CD and infrastructure automation.
  • Conduct feasibility studies and proof-of-concepts to validate the integration of new tools and technologies.
  • Supervise and mentor junior engineers and contribute to team growth.

Benefits

  • competitive compensation and benefits package
  • excellent career development opportunities
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