Enterprise AI/ML Engineer — Production Systems

Carnival Corporation & plc; Miami (FL); On-site; USD 140,000 - 195,000; Full time

Benefits offered by this job

Health Benefits

401(k) with match

Employee Stock Purchase plan

Paid Time Off

Holidays

Tuition reimbursement

Job summary

Carnival Corporation is seeking an AI/ML Engineer to design, develop, deploy, and scale enterprise AI solutions for corporate functions in a Miami-based office. You will work across data, analytics, and business leadership to deliver production-grade AI products, multi-agent systems, and automation leveraging cloud platforms.

The role emphasizes end-to-end AI product lifecycle, governance, and responsible AI practices, with opportunities to shape standards and contribute to a growing AI

Qualifications

• Bachelor’s degree in computer science, data science, or related field. Master’s is a plus.

Responsibilities

• Design, develop, deploy, and maintain AI solutions for Carnival Corporation's corporate functions.
• Collaborate with data engineers to transform curated data into production-grade intelligent systems.
• Own the full lifecycle of AI solutions from concept through production deployment and optimization.
• Shape architecture, standards, deployment patterns, and AI best practices for enterprise scale.
• Help grow and guide a world-class AI engineering team.

Skills

Python

ML engineering

LLM orchestration

Cloud platforms

AWS Bedrock

SageMaker

Snowflake Cortex

LangChain

LangGraph

AutoGen

CrewAI

Prompt engineering

RAG patterns

MLOps

Python APIs

Education

Bachelor’s in CS/Data Science

Master’s in ML/AI

Tools

Snowflake

SageMaker

Bedrock

Cortex

LangGraph

LangChain

OpenAI

Kubernetes

Job description

Carnival Corporation is seeking an AI/ML Engineer to design, develop, deploy, and scale enterprise AI solutions for corporate functions in a Miami-based office. You will work across data, analytics, and business leadership to deliver production-grade AI products, multi-agent systems, and automation leveraging cloud platforms.

The role emphasizes end-to-end AI product lifecycle, governance, and responsible AI practices, with opportunities to shape standards and contribute to a growing AI