Engineer, AI/ML

About the position
Corporation's corporate functions. Working in close partnership with the Data
Platform & Analytics Engineer, this role takes curated, AI-ready data and
transforms it into production-grade intelligent systems. The ideal candidate
brings hands-on experience in large language model orchestration, agentic
workflow design, and the full lifecycle of deploying and maintaining AI
solutions in cloud environments. This is a highly technical individual
contributor role at the intersection of applied AI and enterprise automation.
Responsibilities
• Design and build AI agents and multi-agent systems using Snowflake Cortex AI,
Snowflake ML, Amazon Bedrock, LangGraph, LangChain, AutoGen, and CrewAI
• Develop agentic workflows that automate business processes across corporate
functions
• Translate business requirements into robust, maintainable agent architectures
• Implement prompt engineering strategies, tool use, and memory patterns for
production-grade agents
• Develop, fine-tune, and evaluate ML models using Snowflake ML, AWS SageMaker
and Bedrock foundation models
• Design evaluation frameworks to measure model accuracy, reliability, and
alignment with business objectives
• Select appropriate foundation models and orchestration strategies based on
use case requirements
• Manage model versioning, experimentation tracking, and performance
benchmarking
• Deploy AI and agent workloads to AWS infrastructure including ECS and S3
• Build CI/CD pipelines for model and agent deployment, ensuring reliable and
repeatable release processes
• Manage containerized AI workloads and ensure high availability and
scalability in production
• Leverage Snowflake AI tooling and Cortex capabilities to power data-driven AI
features
• Monitor production AI systems for drift, degradation, and anomalous behavior
• Own incident response and root cause analysis for AI and agent failures in
production
• Implement logging, observability, and alerting frameworks across all deployed
AI solutions
• Continuously improve agent performance based on production feedback and
stakeholder input
• Partner closely with a Data Platform & Analytics Engineer to ensure curated
data layers meet AI consumption requirements
• Define feature requirements, data contracts, and schema standards needed for
agent and model development
• Provide inputs on data architecture decisions that impact AI workload
performance
• Ensure all AI solutions adhere to Carnival Corporation’s AI governance
standards and responsible AI principles
• Apply data privacy controls and access management within AI pipelines
• Document agent architectures, model cards, and deployment runbooks to support
audit and compliance requirements
Requirements
• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5-6 years of experience in AI/ML engineering, data science, or a closely
related software engineering discipline
• Demonstrated experience building and deploying production AI or ML systems
• Hands-on experience with cloud-based AI platforms
• Proficiency with Snowflake AI tooling and Cortex capabilities, Amazon
Bedrock, AWS SageMaker, and ECS for AI/ML workloads
• Hands-on experience with agentic frameworks: Snowflake Intelligence,
LangGraph, LangChain, AutoGen, or CrewAI
• Strong Python skills including experience with ML libraries and API
development
• Experience with LLM orchestration, prompt engineering, and RAG patterns
• Familiarity with CI/CD pipelines and MLOps best practices
• Understanding of responsible AI principles, model governance, and data
privacy standards
• Strong communication skills with ability to explain complex AI concepts to
non-technical stakeholders
Nice-to-haves
• Master’s degree in Machine Learning, AI, Computer Science, Statistics is a
plus.
• Experience in a corporate or enterprise environment preferred
• AWS certifications (ML Specialty, Solutions Architect, or Developer)
• Experience with multi-agent system design and orchestration at scale
• Exposure to hospitality, travel, or cruise industry environments
• Familiarity with Snowflake data sharing and S3-based data export
patterns
Benefits
• Cost-effective medical, dental and vision plans
• Employee Assistance Program and other mental health resources
• Additional programs include company paid term life insurance and disability
coverage
• 401(k) plan that includes a company match
• Employee Stock Purchase plan
• Holidays – All full-time and part-time with benefits employees receive days
off for 8 company-wide holidays, plus 2 additional floating holidays to be
taken at the employee’s discretion.
• Vacation Time – All full-time employees at the manager and below level
start with 14 days/year; director and above level start with 19 days/year.
• Part-time with benefits employees receive time off based on the number of
hours they work, with a minimum of 84 hours/year. All employees gain
additional vacation time with further tenure.
• Sick Time – All full-time employees receive 80 hours of sick time each
year. Part-time with benefits employees receive time off based on the
number of hours they work, with a minimum of 60 hours each year.
• Complementary stand-by cruises, employee discounts on confirmed cruises,
plus special rates for family and friends
• Personal and professional learning and development resources including
tuition reimbursement
• On-site Fitness center at our Miami campus