Hrize
Job Title: AI/ML Engineer
Location: Remote + Travel (Miami, FL) (Local Candidate only)
Type : Contract
USC & GC
Job Overview:
The AI/ML Engineer is responsible for designing, building, and deploying AI agents and automated solutions that drive measurable business value across Carnival Corporation’s corporate functions. Working closely with the Data Platform & Analytics Engineer, this role transforms curated, AI-ready data 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.
Key Responsibilities
AI Agent Design & Development
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 scalable and maintainable agent architectures
Implement prompt engineering strategies, tool usage, and memory patterns for production-grade agents
Model Development, Fine-Tuning & Evaluation
Develop, fine-tune, and evaluate ML models using Snowflake ML, Amazon 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
Production Deployment & Infrastructure
Deploy AI and agent workloads to Amazon Web Services infrastructure including ECS and S3
Build CI/CD pipelines for model and agent deployment to ensure reliable and repeatable releases
Manage containerized AI workloads and ensure production scalability and availability
Leverage Snowflake AI tooling and Cortex capabilities for data-driven AI features
Monitoring, Maintenance & Reliability
Monitor production AI systems for drift, degradation, and anomalous behavior
Own incident response and root cause analysis for AI and agent failures
Implement logging, observability, and alerting frameworks across deployed AI solutions
Continuously improve agent performance based on production feedback and stakeholder input
Data Collaboration & AI Readiness
Partner with the Data Platform & Analytics Engineer to ensure curated data layers meet AI workload requirements
Define feature requirements, schema standards, and data contracts for agent and model development
Provide input on data architecture decisions that impact AI performance
Governance, Security & Responsible AI
Ensure all AI solutions align with company AI governance standards and responsible AI principles
Apply privacy controls and access management across AI pipelines
Document agent architectures, model cards, and deployment runbooks for compliance and audit readiness
Additional Responsibilities
Drive continuous improvement across AI capabilities
Stay current with advancements in agentic AI, LLM orchestration, and applied ML
Champion experimentation and internal knowledge sharing
Identify opportunities to improve AI solutions using emerging tools and techniques
Required Qualifications
Education
Bachelor’s degree in Computer Science, Data Science, or a related field
Master’s degree in Machine Learning, AI, Computer Science, or Statistics is a plus
Equivalent experience may also be considered
Experience
5–6 years of experience in AI/ML engineering, data science, or related software engineering disciplines
Proven experience building and deploying production AI or ML systems
Hands-on experience with cloud-based AI platforms
Experience working in enterprise or corporate environments preferred
Required Skills
Strong expertise with Snowflake AI tooling, Cortex capabilities, Amazon Bedrock, Amazon SageMaker, and ECS for AI/ML workloads
Hands-on experience with agentic frameworks such as Snowflake Intelligence, LangGraph, LangChain, AutoGen, and CrewAI
Strong Python skills including ML libraries and API development
Experience with LLM orchestration, prompt engineering, and RAG patterns
Familiarity with CI/CD pipelines and MLOps best practices
Strong understanding of responsible AI, model governance, and data privacy standards
Strong communication skills with the ability to explain AI concepts to non-technical stakeholders
Experience with multi-agent system design and orchestration at scale
Preferred Qualifications
AWS certifications (ML Specialty, Solutions Architect, or Developer)
Exposure to hospitality, travel, or cruise industry environments
Familiarity with Snowflake data sharing and S3-based data export patterns
Deepesh Yadav
Technical Recruiter – Hrize LLC
| deepesh.yadav@hrize.us
https://www.linkedin.com/in/deepesh-yadav-066231241/ |www.Hrize.us
Staffing | Recruitment | Implementation | Consulting
To apply for this job email your details to deepeshy4804@gmail.com