Senior AI Forward‑Deployed Engineer (Production Apps)

Carnival Corporation & plc; Miami (FL); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Cruise and Travel Privileges

Health Benefits

401(k)

Employee Stock Purchase Plan

Tuition Reimbursement

Job summary

Carnival Corporation & plc is seeking a Principal AI Forward Deployed Engineer to develop and implement AI-powered applications across business units. This role demands extensive experience in software engineering, specifically in backend development and AI/ML deployment. You will lead projects that significantly enhance operational efficiency, working closely with stakeholders to deliver tangible outcomes.

The ideal candidate will have substantial experience with tools like Docker and Kubernetes, along with a strong technical education. This full-stack engineering position balances technical execution with strategic business objectives.

Qualifications

• 6-8+ years of software engineering experience with a focus on backend/full-stack development.
• 4+ years deploying AI/ML solutions in production environments.
• Strong hands-on experience with Docker and Kubernetes.

Responsibilities

• Architect, build, and deploy enterprise-grade AI-powered applications.
• Rapidly build proof-of-concept applications to validate approaches.
• Communicate complex technical concepts to non-technical audiences.

Skills

Backend/full-stack development

AI/ML solution deployment

Docker

Kubernetes

Python

Node.js

Education

Bachelor’s degree in Computer Science, Software Engineering, Data Science

Tools

AWS

Kafka

Job description

Carnival Corporation & plc is seeking a Principal AI Forward Deployed Engineer to develop and implement AI-powered applications across business units. This role demands extensive experience in software engineering, specifically in backend development and AI/ML deployment. You will lead projects that significantly enhance operational efficiency, working closely with stakeholders to deliver tangible outcomes.

The ideal candidate will have substantial experience with tools like Docker and Kubernetes, along with a strong technical education. This full-stack engineering position balances technical execution with strategic business objectives.