Home › Companies › Eicl Fa Em5 Oraclecloud Com CX 1001 › Engineer, AI/ML
Engineer, AI/ML
Eicl Fa Em5 Oraclecloud Com CX 1001 · Miami, FL, United States; US Corporate Office, Miami, FL, US · Remote · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eicl Fa Em5 Oraclecloud Com CX 1001 |
| Title | Engineer, AI/ML |
| Normalized title | - |
| Department / team | Communications |
| Location | Miami, FL, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-04-16 / 2026-05-31 |
| Changed / last seen | 2026-06-02 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eicl Fa Em5 Oraclecloud Com CX 1001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Miami. | Open |
| Department jobs | Active postings in Communications. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Eicl Fa Em5 Oraclecloud Com CX 1001 |
| Source | 33e49c01-b71c-465f-b3fa-a17e1527c6c2 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
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.
Essential Functions:
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 robust, maintainable agent architectures
Implement prompt engineering strategies, tool use, and memory patterns for production-grade agents
Model Development, Fine-Tuning & Evaluation
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
Production Deployment & Infrastructure
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
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 in production
Implement logging, observability, and alerting frameworks across all deployed AI solutions
Continuously improve agent performance based on production feedback and stakeholder input
Data Collaboration & AI Readiness
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
Governance, Security & Responsible AI
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
Knowledge, Skills & Abilities:
Scope: The AI / ML Engineer operates with a high degree of independence in the design and execution of AI and agentic solutions. This role holds decision-making authority over agent architecture, model selection, prompt engineering strategy, and the deployment patterns used to bring AI capabilities into production. Day-to-day responsibilities span the full AI development lifecycle: from requirements analysis and prototype development through to production deployment, monitoring, and ongoing maintenance. The role works closely with the AI Product Owner to translate business use cases into engineering deliverables, and partners with the Data Platform & Analytics Engineer to ensure data readiness for AI workloads. Common challenges include managing agents in production, designing reliable multi-agent systems, and ensuring AI outputs meet governance and compliance standards. The ideal candidate is equally comfortable working on cutting-edge agentic frameworks and maintaining the reliability of systems already in production.
Problem solving: Demonstrates the ability to solve complex, ambiguous problems at the intersection of data, AI, and business operations. Translates loosely defined business problems into well-structured AI agent architectures, model pipelines, and production-ready solutions. Selects appropriate foundation models, orchestration frameworks, and agent patterns (single-agent vs multi-agent) based on accuracy, latency, cost, and governance requirements. Breaks down end-to-end AI system challenges (data readiness, orchestration, deployment, monitoring) into manageable components and sequences work logically. Diagnoses issues in production AI systems, including model drift, prompt degradation, orchestration failures, and infrastructure bottlenecks. Applies systematic experimentation, evaluation frameworks, and benchmarking to compare alternative modeling and orchestration approaches. Balances trade-offs between speed to value, solution robustness, scalability, and long-term maintainability. Uses strong debugging skills across model behavior, agent tool usage, infrastructure logs, and data pipelines to identify root causes efficiently.
Impact: Delivers measurable business value by deploying reliable, scalable AI systems that improve efficiency, decision-making, and automation across corporate functions. Designs and deploys AI agents and automated workflows that materially reduce manual effort and cycle time in corporate processes. Over AI solutions from prototype to production, ensuring they are secure, performant, and aligned with enterprise standards. Improves AI solution reliability and business trust through proactive monitoring, observability, and continuous performance tuning. Drives adoption by building AI systems that integrate seamlessly into existing workflows and platforms. Quantifies impact using defined success metrics (accuracy, precision, throughput, cost savings, reliability, and user outcomes). Ensures AI solutions scale effectively with increased data volume, usage, and organizational demand. Actively incorporates production feedback and stakeholder input to improve agent behavior, model outputs, and automation outcomes. Contributes to the long-term AI capability of the organization by creating reusable patterns, templates, and deployment standards.
Leadership: Acts as a technical leader and trusted partner, influencing outcomes through expertise, collaboration, and ownership—without formal people management responsibilities. Owns AI systems end-to-end, from initial design through production deployment, monitoring, and lifecycle maintenance. Partners effectively with Data Platform & Analytics Engineers to shape data contracts, feature definitions, and schema standards that enable high-quality AI solutions. Provides clear technical guidance and recommendations to stakeholders, helping translate business needs into realistic AI capabilities. Sets a high bar for engineering quality, reliability, documentation, and responsible AI practices. Advocates for responsible AI, security, and governance requirements and ensures they are embedded into solution design from the start. Leads incident response and postmortems for AI system failures, focusing on learning, prevention, and system improvement. Shares knowledge through documentation, runbooks, architecture diagrams, and best practices to raise the overall maturity of AI delivery. Demonstrates accountability, follows through on commitments, and proactively identifies risks before they impact production or business outcomes.
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. Lauderdale area.
Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience.
At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival’s discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including:
Health 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 Financial Benefits: 401(k) plan that includes a company match Employee Stock Purchase plan Paid Time Off 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. Other Benefits 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
#Corp
#LI-Hybrid Remote
#LI-SH1
Company
About Us
Carnival Corporation & plc is the world’s largest leisure travel company, our mission to deliver unforgettable happiness to our guest through our diverse portfolio of leading cruise brands and island destinations, including Carnival Cruise Line, Holland America Line, Princess Cruises, and Seabourn in North America and Australia; P&O Cruises and Cunard Line in the United Kingdom; AIDA in Germany; Costa Cruises in Southern Europe.
Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a global community that makes a difference.
In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.
Carnival Corporation & plc and Carnival Cruise Line is an equal employment opportunity/affirmative action employer. In this regard, it does not discriminate against any qualified individual on the basis of sex, race, color, national origin, religion, sexual orientation, age, marital status, mental, physical or sensory disability, or any other classification protected by applicable local, state, federal, and/or international law.
https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf
https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf
Full job record
| Job ID | 5f981483c7cd0064de0a4eb09a6f2db7751bab87 |
| Org ID | 2f3bcf24-9510-4e11-89a1-bf5b657711b4 |
| Source ID | 33e49c01-b71c-465f-b3fa-a17e1527c6c2 |
| Board ID | 33e49c01-b71c-465f-b3fa-a17e1527c6c2 |
| Provider | oracle_hcm |
| Provider Job Key | 12934 |
| Title | Engineer, AI/ML |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Miami, FL, United States; US Corporate Office, Miami, FL, US |
| Department | Communications |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | FL |
| City | Miami |
| Salary Raw | Description 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. Essential Functions: 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 robust, maintainable agent architectures Implement prompt engineering strategies, tool use, and memory patterns for production-grade agents Model Development, Fine-Tuning & Evaluation 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 Production Deployment & Infrastructure 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 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 in production Implement logging, observability, and alerting frameworks across all deployed AI solutions Continuously improve agent performance based on production feedback and stakeholder input Data Collaboration & AI Readiness 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 Governance, Security & Responsible AI 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 Knowledge, Skills & Abilities: Scope: The AI / ML Engineer operates with a high degree of independence in the design and execution of AI and agentic solutions. This role holds decision-making authority over agent architecture, model selection, prompt engineering strategy, and the deployment patterns used to bring AI capabilities into production. Day-to-day responsibilities span the full AI development lifecycle: from requirements analysis and prototype development through to production deployment, monitoring, and ongoing maintenance. The role works closely with the AI Product Owner to translate business use cases into engineering deliverables, and partners with the Data Platform & Analytics Engineer to ensure data readiness for AI workloads. Common challenges include managing agents in production, designing reliable multi-agent systems, and ensuring AI outputs meet governance and compliance standards. The ideal candidate is equally comfortable working on cutting-edge agentic frameworks and maintaining the reliability of systems already in production. Problem solving: Demonstrates the ability to solve complex, ambiguous problems at the intersection of data, AI, and business operations. Translates loosely defined business problems into well-structured AI agent architectures, model pipelines, and production-ready solutions. Selects appropriate foundation models, orchestration frameworks, and agent patterns (single-agent vs multi-agent) based on accuracy, latency, cost, and governance requirements. Breaks down end-to-end AI system challenges (data readiness, orchestration, deployment, monitoring) into manageable components and sequences work logically. Diagnoses issues in production AI systems, including model drift, prompt degradation, orchestration failures, and infrastructure bottlenecks. Applies systematic experimentation, evaluation frameworks, and benchmarking to compare alternative modeling and orchestration approaches. Balances trade-offs between speed to value, solution robustness, scalability, and long-term maintainability. Uses strong debugging skills across model behavior, agent tool usage, infrastructure logs, and data pipelines to identify root causes efficiently. Impact: Delivers measurable business value by deploying reliable, scalable AI systems that improve efficiency, decision-making, and automation across corporate functions. Designs and deploys AI agents and automated workflows that materially reduce manual effort and cycle time in corporate processes. Over AI solutions from prototype to production, ensuring they are secure, performant, and aligned with enterprise standards. Improves AI solution reliability and business trust through proactive monitoring, observability, and continuous performance tuning. Drives adoption by building AI systems that integrate seamlessly into existing workflows and platforms. Quantifies impact using defined success metrics (accuracy, precision, throughput, cost savings, reliability, and user outcomes). Ensures AI solutions scale effectively with increased data volume, usage, and organizational demand. Actively incorporates production feedback and stakeholder input to improve agent behavior, model outputs, and automation outcomes. Contributes to the long-term AI capability of the organization by creating reusable patterns, templates, and deployment standards. Leadership: Acts as a technical leader and trusted partner, influencing outcomes through expertise, collaboration, and ownership—without formal people management responsibilities. Owns AI systems end-to-end, from initial design through production deployment, monitoring, and lifecycle maintenance. Partners effectively with Data Platform & Analytics Engineers to shape data contracts, feature definitions, and schema standards that enable high-quality AI solutions. Provides clear technical guidance and recommendations to stakeholders, helping translate business needs into realistic AI capabilities. Sets a high bar for engineering quality, reliability, documentation, and responsible AI practices. Advocates for responsible AI, security, and governance requirements and ensures they are embedded into solution design from the start. Leads incident response and postmortems for AI system failures, focusing on learning, prevention, and system improvement. Shares knowledge through documentation, runbooks, architecture diagrams, and best practices to raise the overall maturity of AI delivery. Demonstrates accountability, follows through on commitments, and proactively identifies risks before they impact production or business outcomes. 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. Lauderdale area. Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience. At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival’s discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including: Health 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 Financial Benefits: 401(k) plan that includes a company match Employee Stock Purchase plan Paid Time Off 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. Other Benefits 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 #Corp #LI-Hybrid Remote #LI-SH1 Company About Us Carnival Corporation & plc is the world’s largest leisure travel company, our mission to deliver unforgettable happiness to our guest through our diverse portfolio of leading cruise brands and island destinations, including Carnival Cruise Line, Holland America Line, Princess Cruises, and Seabourn in North America and Australia; P&O Cruises and Cunard Line in the United Kingdom; AIDA in Germany; Costa Cruises in Southern Europe. Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a global community that makes a difference. In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. Carnival Corporation & plc and Carnival Cruise Line is an equal employment opportunity/affirmative action employer. In this regard, it does not discriminate against any qualified individual on the basis of sex, race, color, national origin, religion, sexual orientation, age, marital status, mental, physical or sensory disability, or any other classification protected by applicable local, state, federal, and/or international law. https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://eicl.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/12934 |
| Apply URL | https://eicl.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/12934 |
| First Seen At | 2026-05-31 17:58:27Z |
| Last Seen At | 2026-06-06 19:53:04Z |
| Last Checked At | 2026-06-06 19:53:04Z |
| Last Changed At | 2026-06-02 11:24:30Z |
| Inactive At | — |
| Source Posted At | 2026-04-16 13:22:12Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eicl.fa.em5.oraclecloud.com|CX_1001/date=2026-06-06/2026-06-06T19-52-54-904Z-539f9354575dcfe17727452a653da19b666bbc5c65105ef531834cdc428b4a39.json |
Event Fields
{
"content_hash": "4d6ba518268bc10aa82fc79610021ca094beb067ce75c21be3fdf7af305cb65b",
"source_hash": "c220759a0dd66a32d1bbcb9cca8261a1cea6cf8dda3003c02f64f906a6fa24c0",
"last_changed_at": "2026-06-02T11:24:30.432Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Miami, FL, United States",
"city": "Miami",
"region": "FL",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T19:53:04.679Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Miami, FL, United States",
"city": "Miami",
"region": "FL",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": "day",
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "12934",
"Title": "Engineer, AI/ML",
"media": [],
"skills": [],
"JobType": null,
"Category": "Communications",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": "Bachelor's Degree",
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000006512665,
"JobFamilyId": 300000805364918,
"JobFunction": null,
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Miami-Dade",
"Region2": "FL",
"Region3": null,
"Building": null,
"Latitude": "25.84431",
"Longitude": "-80.3716",
"LocationId": 300000011530356,
"PostalCode": "33178",
"TownOrCity": "Miami",
"AddressLine1": "3655 NW 87th Avenue",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US Corporate Office"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300001450494877,
"WorkplaceType": "",
"BusinessUnitId": 300000002210339,
"OrganizationId": 300000002210001,
"GeographyNodeId": 300000216986231,
"JobFunctionCode": null,
"LegalEmployerId": 300000002206933,
"PrimaryLocation": "Miami, FL, United States",
"RequisitionType": "Professional",
"NumberOfOpenings": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">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.</span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><strong><u>Essential Functions:</u></strong></span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">AI Agent Design & Development</span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Design and build AI agents and multi-agent systems using Snowflake Cortex AI, Snowflake ML, Amazon Bedrock, LangGraph, LangChain, AutoGen, and CrewAI</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Develop agentic workflows that automate business processes across corporate functions </span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Translate business requirements into robust, maintainable agent architectures</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Implement prompt engineering strategies, tool use, and memory patterns for production-grade agents</span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Model Development, Fine-Tuning & Evaluation</span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Develop, fine-tune, and evaluate ML models using Snowflake ML, AWS SageMaker and Bedrock foundation models</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Design evaluation frameworks to measure model accuracy, reliability, and alignment with business objectives</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Select appropriate foundation models and orchestration strategies based on use case requirements</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Manage model versioning, experimentation tracking, and performance benchmarking</span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Production Deployment & Infrastructure</span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Deploy AI and agent workloads to AWS infrastructure including ECS and S3</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Build CI/CD pipelines for model and agent deployment, ensuring reliable and repeatable release processes</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Manage containerized AI workloads and ensure high availability and scalability in production</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Leverage Snowflake AI tooling and Cortex capabilities to power data-driven AI features</span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Monitoring, Maintenance & Reliability </span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Monitor production AI systems for drift, degradation, and anomalous behavior</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Own incident response and root cause analysis for AI and agent failures in production</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Implement logging, observability, and alerting frameworks across all deployed AI solutions</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Continuously improve agent performance based on production feedback and stakeholder input</span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Data Collaboration & AI Readiness</span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Partner closely with a Data Platform & Analytics Engineer to ensure curated data layers meet AI consumption requirements</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Define feature requirements, data contracts, and schema standards needed for agent and model development</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Provide inputs on data architecture decisions that impact AI workload performance</span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Governance, Security & Responsible AI</span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Ensure all AI solutions adhere to Carnival Corporation’s AI governance standards and responsible AI principles</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Apply data privacy controls and access management within AI pipelines</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Document agent architectures, model cards, and deployment runbooks to support audit and compliance requirements</span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><strong><u>Knowledge, Skills & Abilities:</u></strong></span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Scope: The AI / ML Engineer operates with a high degree of independence in the design and execution of AI and agentic solutions. This role holds decision-making authority over agent architecture, model selection, prompt engineering strategy, and the deployment patterns used to bring AI capabilities into production. Day-to-day responsibilities span the full AI development lifecycle: from requirements analysis and prototype development through to production deployment, monitoring, and ongoing maintenance. The role works closely with the AI Product Owner to translate business use cases into engineering deliverables, and partners with the Data Platform & Analytics Engineer to ensure data readiness for AI workloads. Common challenges include managing agents in production, designing reliable multi-agent systems, and ensuring AI outputs meet governance and compliance standards. The ideal candidate is equally comfortable working on cutting-edge agentic frameworks and maintaining the reliability of systems already in production.</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Problem solving: Demonstrates the ability to solve complex, ambiguous problems at the intersection of data, AI, and business operations. Translates loosely defined business problems into well-structured AI agent architectures, model pipelines, and production-ready solutions. Selects appropriate foundation models, orchestration frameworks, and agent patterns (single-agent vs multi-agent) based on accuracy, latency, cost, and governance requirements. Breaks down end-to-end AI system challenges (data readiness, orchestration, deployment, monitoring) into manageable components and sequences work logically. Diagnoses issues in production AI systems, including model drift, prompt degradation, orchestration failures, and infrastructure bottlenecks. Applies systematic experimentation, evaluation frameworks, and benchmarking to compare alternative modeling and orchestration approaches. Balances trade-offs between speed to value, solution robustness, scalability, and long-term maintainability. Uses strong debugging skills across model behavior, agent tool usage, infrastructure logs, and data pipelines to identify root causes efficiently.</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Impact: Delivers measurable business value by deploying reliable, scalable AI systems that improve efficiency, decision-making, and automation across corporate functions. Designs and deploys AI agents and automated workflows that materially reduce manual effort and cycle time in corporate processes. Over AI solutions from prototype to production, ensuring they are secure, performant, and aligned with enterprise standards. Improves AI solution reliability and business trust through proactive monitoring, observability, and continuous performance tuning. Drives adoption by building AI systems that integrate seamlessly into existing workflows and platforms. Quantifies impact using defined success metrics (accuracy, precision, throughput, cost savings, reliability, and user outcomes). Ensures AI solutions scale effectively with increased data volume, usage, and organizational demand. Actively incorporates production feedback and stakeholder input to improve agent behavior, model outputs, and automation outcomes. Contributes to the long-term AI capability of the organization by creating reusable patterns, templates, and deployment standards.</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Leadership: Acts as a technical leader and trusted partner, influencing outcomes through expertise, collaboration, and ownership—without formal people management responsibilities. Owns AI systems end-to-end, from initial design through production deployment, monitoring, and lifecycle maintenance. Partners effectively with Data Platform & Analytics Engineers to shape data contracts, feature definitions, and schema standards that enable high-quality AI solutions. Provides clear technical guidance and recommendations to stakeholders, helping translate business needs into realistic AI capabilities. Sets a high bar for engineering quality, reliability, documentation, and responsible AI practices. Advocates for responsible AI, security, and governance requirements and ensures they are embedded into solution design from the start. Leads incident response and postmortems for AI system failures, focusing on learning, prevention, and system improvement. Shares knowledge through documentation, runbooks, architecture diagrams, and best practices to raise the overall maturity of AI delivery. Demonstrates accountability, follows through on commitments, and proactively identifies risks before they impact production or business outcomes.</span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"> </span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><strong><u>Qualifications:</u></strong></span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">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.</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">5-6 years of experience in AI/ML engineering, data science, or a closely related software engineering discipline</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Demonstrated experience building and deploying production AI or ML systems</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Hands-on experience with cloud-based AI platforms</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Experience in a corporate or enterprise environment preferred </span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Proficiency with Snowflake AI tooling and Cortex capabilities, Amazon Bedrock, AWS SageMaker, and ECS for AI/ML workloads</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Hands-on experience with agentic frameworks: Snowflake Intelligence, LangGraph, LangChain, AutoGen, or CrewAI</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Strong Python skills including experience with ML libraries and API development</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Experience with LLM orchestration, prompt engineering, and RAG patterns</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Familiarity with CI/CD pipelines and MLOps best practices</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Understanding of responsible AI principles, model governance, and data privacy standards</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Strong communication skills with ability to explain complex AI concepts to non-technical stakeholders</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">AWS certifications (ML Specialty, Solutions Architect, or Developer)</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Experience with multi-agent system design and orchestration at scale</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Exposure to hospitality, travel, or cruise industry environments</span></span></p></li><li><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Familiarity with Snowflake data sharing and S3-based data export patterns </span></span></p></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><u>Travel</u>: Less than 25% with shipboard travel likely</span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><u>Work Conditions:</u> Work primarily in a climate-controlled environment with minimal safety/health hazard potential.</span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><u>Physical Demands:</u> Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.</span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">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. Lauderdale area. </span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience. </span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival’s discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including: </span></span></p><ul style=\"list-style-type:disc;\"><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Health Benefits: </span></span><ul style=\"list-style-type:circle;\"><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Cost-effective medical, dental and vision plans </span></span></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Employee Assistance Program and other mental health resources </span></span></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Additional programs include company paid term life insurance and disability coverage </span></span></li></ul></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Financial Benefits: </span></span><ul style=\"list-style-type:circle;\"><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">401(k) plan that includes a company match </span></span></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Employee Stock Purchase plan </span></span></li></ul></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Paid Time Off </span></span><ul style=\"list-style-type:circle;\"><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">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. </span></span></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">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. </span></span></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">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. </span></span></li></ul></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Other Benefits </span></span><ul style=\"list-style-type:circle;\"><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends </span></span></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Personal and professional learning and development resources including tuition reimbursement </span></span></li><li style=\"line-height:normal;margin-bottom:0in;tab-stops:list 1.0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">On-site Fitness center at our Miami campus </span></span></li></ul></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"> </span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"> </p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">#Corp</span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">#LI-Hybrid</span><span style=\"display:none;font-size:11.0pt;line-height:115%;\">Remote</span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">#LI-SH1</span></span></p>",
"ObjectVerNumberProfile": "2",
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "<div>\n <div>\n <div>\n <div>\n <div>\n <p style=\"margin: 0in;\">About Us</p>\n <p style=\"margin: 0in;\">Carnival Corporation & plc is the world’s largest leisure travel company, our mission to deliver unforgettable happiness to our guest through our diverse portfolio of leading cruise brands and island destinations, including Carnival Cruise Line, Holland America Line, Princess Cruises, and Seabourn in North America and Australia; P&O Cruises and Cunard Line in the United Kingdom; AIDA in Germany; Costa Cruises in Southern Europe.</p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\">Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a global community that makes a difference.</p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\">In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.</p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\">Carnival Corporation & plc and Carnival Cruise Line is an equal employment opportunity/affirmative action employer. In this regard, it does not discriminate against any qualified individual on the basis of sex, race, color, national origin, religion, sexual orientation, age, marital status, mental, physical or sensory disability, or any other classification protected by applicable local, state, federal, and/or international law. </p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\"><a href=\"https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf\" target=\"_blank\" rel=\"nofollow\"><span style=\"border: 1pt none windowtext; padding: 0in;\">https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf</span></a></p>\n <p style=\"margin: 0in;\"></p>\n <p class=\"MsoNormal\" style=\"margin-bottom: 0in;\"><a href=\"https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf\" target=\"_blank\" rel=\"nofollow\"><span style=\"border: 1pt none windowtext; padding: 0in;\">https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf</span></a></p>\n <p style=\"margin: 0in;\"></p>\n <p style=\"margin: 0in;\"></p>\n </div>\n <div>\n </div>\n </div>\n </div>\n </div>\n</div>\n<div>\n</div>",
"ExternalPostedStartDate": "2026-04-16T13:22:12+00:00",
"ExternalQualificationsStr": "",
"InternalQualificationsStr": "",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "25.77481",
"Longitude": "-80.19773",
"CountryCode": "US",
"GeographyId": 300000006512665,
"GeographyNodeId": 300000216986231
}
],
"ExternalResponsibilitiesStr": "",
"InternalResponsibilitiesStr": "",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "12934",
"Title": "Engineer, AI/ML",
"JobType": null,
"Distance": 1776297600000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 3,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-04-16",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000006512665,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Miami-Dade",
"Region2": "FL",
"Region3": null,
"Building": null,
"Latitude": 25.84431,
"Longitude": -80.3716,
"LocationId": 300000011530356,
"PostalCode": "33178",
"TownOrCity": "Miami",
"AddressLine1": "3655 NW 87th Avenue",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US Corporate Office"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "",
"BusinessUnitId": 300000002210339,
"OrganizationId": 300000002210001,
"PostingEndDate": null,
"LegalEmployerId": 300000002206933,
"PrimaryLocation": "Miami, FL, United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://eicl.fa.em5.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2212934%22,siteNumber=CX_1001",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 32157
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/5f981483c7cd0064de0a4eb09a6f2db7751bab87?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/2f3bcf24-9510-4e11-89a1-bf5b657711b4JSONGET https://api.bluedoor.sh/job-postings/v1/sources/33e49c01-b71c-465f-b3fa-a17e1527c6c2JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/5f981483c7cd0064de0a4eb09a6f2db7751bab87/eventsJSON