Engineer, AI/ML

Carnival Corporation•Miami, FL

19h•Hybrid

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.

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

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

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