Engineer, AI/ML

Carnival Corporation & plc; Miami (FL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Carnival Corporation is seeking an innovative AI/ML Engineer to design, build, and scale production-grade AI products for corporate functions, partnering with data engineers to transform curated data into intelligent systems.

The ideal candidate will have hands-on experience with LLM orchestration, agentic workflows, and enterprise automation, guiding architecture, standards, and best practices while growing a world-class AI engineering team.

Qualifications

• Bachelor’s degree in computer science, data science, or related field.
• 5–6 years of experience in AI/ML engineering or related software discipline.
• Proven experience building and deploying production AI/ML systems.
• Hands-on cloud-based AI platform experience.
• Familiarity with enterprise environments and governance.

Responsibilities

• Design, develop, deploy, and maintain AI solutions for Carnival’s corporate functions.
• Collaborate with data engineers to convert curated data into production-grade intelligent systems.
• Lead end-to-end lifecycle of AI products, including orchestration of LLMs and agentic workflows.
• Influence architecture decisions, standards, and deployment patterns across the enterprise.

Job description

Shape the Future of Enterprise AI at Carnival Corporation

Are you passionate about building cutting-edge AI solutions that move beyond experimentation and into real-world impact? Carnival Corporation is seeking an innovative AI / ML Engineer to help design, build, and scale the next generation of intelligent systems that will transform how our corporate team’s work.

In this role, you will be a part of our Corporate Data & AI strategy team to develop production-grade AI products, multi-agent systems, machine learning models, and enterprise automation solutions leveraging the latest technologies including AWS Bedrock/Sagemaker, Snowflake Cortex, Anthropric, OpenAI, and Microsoft AI stack.

This is more than an engineering role. It's an opportunity to help establish and shape our enterprise AI capability from the ground up. You will have significant influence on architecture decisions, technology standards, deployment patterns, and AI best practices while helping build a growing AI engineering function that will drive innovation across one of the world's largest travel and hospitality companies.

Why Join Us?

• Work with cutting-edge AI technologies including LLMs, agentic AI, multi-agent architectures, and enterprise-scale machine learning solutions.
• Help build and shape a growing AI engineering team from the ground up, influencing strategy, standards, and technical direction.
• Own the full lifecycle of AI solutions, from concept and experimentation to production deployment and optimization.
• Tackle complex, high-impact business challenges and create solutions used across global corporate functions.
• Collaborate with talented data, analytics, and business leaders who are committed to accelerating AI innovation.
• Make a visible impact at enterprise scale while working in a fast-growing area of technology.
• Be part of a company investing heavily in digital transformation and the future of intelligent automation.

Position Summary

The AI / ML Engineer is responsible for designing, developing, deploying, and maintaining AI solutions for Carnival Corporation's corporate functions. Working in close partnership with the data engineer team, this team takes curated, AI-ready data and transforms it into production-grade intelligent systems.

The ideal candidate brings hands‑on experience in conceptualizing, developing and deploying AI products, 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 positioned at the intersection of applied artificial intelligence, machine learning, and enterprise automation.

The successful candidate will have the rare opportunity to help define the future of AI within the organization while contributing to the formation and growth of a world-class AI engineering team.

Qualifications

• Bachelor’s degree in computer science, data science, or a related field. Master’s degree in machine learning, AI, computer science, statistics is a plus.
• 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.
• Experience in a corporate or enterprise environment preferred.
• 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.
• 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.

Travel

Less than 25% with shipboard travel likely.

Work Conditions

Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Physical Demands

Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.

This position is classified as "in-office". As an in-office role, it requires employees to work from a designated Carnival office in South Florida Monday through Thursday each week. Employees may work from their homes on Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft