One of the best-known names in cruising, Princess is the world's leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can't. The Love Boat promises something for everyone.
We are looking to hire a Principal AI Forward Deployed Engineer. The Principal AI Forward Deployed Engineer is embedded directly with business units across the organization to quickly prototype, deploy, customize, and operationalize AI solutions that solve critical business problems. This role bridges the gap between the AI/Data team and the business-translating ambiguous challenges into working AI applications that deliver measurable value.
This is a full-stack engineering role with deep backend expertise. You will design and build production-grade applications, APIs, and data pipelines that bring AI capabilities to life. Proficiency in modern application development, containerization, orchestration, and event-driven architectures is essential.
Unlike traditional engineering roles, the Principal AI Forward Deployed Engineer operates at the intersection of technical execution and business problem-solving. You will work side-by-side with stakeholders in Guest Services, Revenue Management, Operations, Food & Beverage, and other functions to rapidly prototype, deploy, and iterate on AI solutions in real-world environments-including shipboard systems.
This role requires a builder''s mindset: someone who can scope a vague problem, architect a robust solution, write production-grade code, and ship it fast. You will bring field insights back to the core AI team, identifying reusable patterns and influencing the product roadmap based on what you learn in the field.
Here's a summary of what Princess is looking for in a Principal AI Forward Deployed Engineer. Is this you?
Responsibilities:
AI Application Development & Deployment: Architect, build, and deploy enterprise-grade AI-powered applications using modern backend technologies (Python, Node.js, FastAPI, Express). Design and implement robust APIs and microservices architectures that integrate AI/ML models-including LLMs and agentic systems-with business systems at scale. Lead containerization strategies using Docker and manage complex deployments via Kubernetes (EKS/ECS) with a focus on reliability, scalability, and performance. Design and implement event-driven architectures using Kafka or similar streaming platforms for real-time data processing and AI inference. Take full ownership of end-to-end delivery from technical scoping and architecture design through production deployment, monitoring, optimization, and ongoing operational excellence.
Rapid Prototyping & Problem Discovery: Deconstruct ambiguous, complex business problems into actionable AI solutions by deeply understanding operational context, system constraints, and stakeholder priorities. Rapidly build proof-of-concept applications using appropriate technology stacks to validate approaches and demonstrate business value. Architect scalable, production-ready solutions that account for performance, reliability, security, and maintainability from inception. Lead iterative development cycles based on user feedback, refining solutions until they deliver measurable, quantifiable business impact. Serve as a trusted advisor to business units on what is technically feasible and strategically valuable.
Stakeholder Engagement & Technical Translation: Serve as the senior technical point of contact and trusted advisor for business stakeholders during AI deployments. Communicate complex technical concepts-including architecture decisions, trade-offs, risks, and recommendations-to executive leadership and non-technical audiences with clarity and confidence. Lead cross-functional collaboration with data scientists, data engineers, platform teams, infrastructure teams, microservice teams, security, privacy, and product managers to ensure solutions meet rigorous technical standards and business objectives. Build and maintain strong relationships with business partners through consistent delivery, transparent communication, and a demonstrated commitment to their success.
Field Insights & Platform Feedback: Champion continuous improvement by bringing strategic learnings from field deployments back to the core AI/Data and Platform teams. Identify opportunities to improve tools, infrastructure, and reusable components that benefit the broader organization. Author and maintain comprehensive documentation including solution architectures, design patterns, and operational runbooks that enable knowledge transfer and accelerate future deployments. Proactively identify gaps in platform capabilities (CI/CD, observability, infrastructure, developer experience) and advocate for improvements with supporting business justification. Define and elevate engineering standards and best practices across the AI organization, mentor junior and mid-level engineers on these standards.
Knowledge & Skills:
Scope: The Senior Principal AI Forward Deployed Engineer operates as a technical leader across multiple business units-including Strategy & Analytics, Finance, Guest Services, Revenue Management, Operations, Marketing, and beyond-embedding directly with teams to architect and deploy enterprise-grade AI solutions in both shoreside and shipboard environments. This role commands the full technology stack, from backend application development (Python, Node.js, APIs, microservices) to infrastructure (Docker, Kubernetes, Kafka) and advanced AI/ML integration including LLMs and agentic systems. The incumbent serves as the primary technical authority during AI deployments, working cross-functionally with data scientists, data engineers, platform teams, infrastructure teams, security, privacy, and product managers. Engagements typically involve weeks to months of focused, high-stakes collaboration with business units to deliver production-ready AI solutions that drive measurable outcomes.
Impact: The Senior Principal AI Forward Deployed Engineer plays a pivotal role in transforming AI prototypes into scalable, production-grade solutions that deliver quantifiable business value. By embedding directly with business units and taking full ownership of end-to-end delivery, this position significantly accelerates the organization''s ability to realize returns on AI investments. The impact extends to driving operational efficiency gains, elevating guest experiences, and enabling data-driven decision-making through robust, deployed AI applications. This role serves as the critical bridge between technical capabilities and real-world business needs, ensuring AI initiatives advance beyond proof-of-concept to deliver innovation, competitive advantage, and tangible outcomes-including revenue growth, cost reduction, improved satisfaction scores, and new capabilities that were previously unattainable. The incumbent''s contributions multiply across the organization as reusable patterns, best practices, and platform improvements benefit future deployments.
Problem Solving: This role demands expert-level analytical and technical skills to address the most complex, ambiguous challenges in AI deployment and application development. The Senior Principal AI Forward Deployed Engineer must deconstruct vague business problems into actionable technical solutions by deeply understanding operational context, system constraints, data availability, and stakeholder priorities. Problem-solving involves conducting root cause analysis, architecting scalable and maintainable solutions, resolving critical production issues under pressure, and iterating approaches based on real-world feedback. The ability to navigate high-stakes trade-offs-speed vs. scalability, custom vs. reusable, perfect vs. good enough-is essential. The incumbent must also solve for complex real-world constraints including legacy system integration, shipboard connectivity limitations, distributed/offline environments, security requirements, and aggressive timelines while delivering solutions that meet rigorous technical standards and business objectives. This role serves as the escalation point for the most challenging technical blockers across AI deployments.
Leadership: While this position does not have direct reports, it demonstrates senior-level leadership through technical ownership, strategic influence, and cross-functional impact. The Senior Principal AI Forward Deployed Engineer leads by owning end-to-end delivery of AI solutions, making critical architecture decisions, setting quality standards, and serving as a technical role model during engagements. By partnering with data scientists, engineers, and business stakeholders, the role builds alignment, removes blockers, and drives projects forward without formal authority. Leadership is further demonstrated through mentoring junior and mid-level engineers, establishing best practices and reusable patterns that scale across the organization, advocating for platform and tooling improvements based on field insights, and communicating effectively with executives on solution progress, technical trade-offs, and strategic recommendations. The incumbent champions responsible AI deployment influences the organization''s AI roadmap through field-driven insights, and guides business units toward leveraging AI technologies effectively, ethically, and strategically.
Requirements:
Bachelor''s degree in Computer Science, Software Engineering, Data Science or related field
Master''s degree preferred but not required
Certifications (required at least 1):
AWS certifications (Solutions Architect, Developer Associate, Machine Learning Specialty)
Kubernetes certifications (CKA, CKAD)
Relevant AI/ML or cloud certifications
Minimum Experience:
6-8+ years of software engineering experience with a focus on backend/full-stack development
4+ years deploying AI/ML solutions in production environments
Led/architected 3+ production AI systems
Strong hands-on experience with Docker, Kubernetes, and cloud-native architectures
Experience building and operating event-driven or streaming data systems (Kafka, Kinesis)
Track record of delivering technical solutions in ambiguous, fast-moving environments
Track record leading technical engagements with senior/executive stakeholders.
Mentored junior engineers; led cross-functional delivery teams.
Preferred Experience:
Experience in a Forward Deployed Engineer, Solutions Engineer, or Technical Consultant role
Experience building generative AI applications, LLM integrations, or agentic AI solutions
Background in travel, hospitality, or cruise industry
Experience with shipboard or distributed/disconnected computing environments
Contributions to platform engineering, developer tooling, or infrastructure automation
Travel: No or very little 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 Princess office Monday through Thursday each week. Employees may work from their homes on Fridays. Candidates must be located in (or willing to relocate to) the area.
Princess provides comprehensive and innovative benefits to meet your needs, including:
What You Can Expect
Our Culture… Stronger Together
Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at: princess.com/en-us/company-information
Princess is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Americans with Disabilities Act (ADA)
Princess will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact careers@carnival.com.
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Bij Holland America Line geloven we dat reizen de wereld kan veranderen. Voor ons is het verbeteren van de wereld een hoger doel en wij doen dit door de geest te verruimen, connecties te leggen en een gedeelde humaniteit te stimuleren.
Holland America Line is al 145 jaar een toonaangevende pionier op het gebied van cruises. Als u op zoek bent naar de ruimste en comfortabelste schepen op zee, bekroonde service, geraffineerd dineren, een uitgebreide keuze aan activiteiten en verrijkende programma's en verrassende wereldwijde routes, dan bent u hier aan het goede adres.
Onze vloot van 14 moderne klassieke schepen biedt meer dan 500 cruises per jaar waarbij alle zeven continenten worden bezocht. Cruises hebben zowel populaire als minder bekende havens als bestemming in de Caraïbische Eilanden, Alaska, Europa, Mexico, Zuid-Amerika, het Panamakanaal, Australië, Nieuw-Zeeland en Azië - tevens bieden wij unieke reizen naar de Amazone, Antarctica en uitgebreide Grand Voyages.
Holland America Line is trots op haar milieuprogramma. Het bedrijf behaalde haar eerste ISO 14001-certificaat in juni 2006. ISO 14001 is de internationaal erkende norm voor milieumanagement en omvat vrijwel elk aspect van wat er op en rond onze schepen gebeurt. Holland America Line werd keer op keer gecertificeerd voor het voldoen aan deze norm, een bewijs dat het waken over de veiligheid van onze gasten, bemanningen, schepen en de omgeving waarin we leven en werken niet alleen de juiste overtuiging is, maar ook essentieel is voor de succesvolle uitoefening van onze activiteiten.
Als onderdeel van onze sociale verantwoordelijkheid werken het bedrijf, de medewerkers en de gasten samen om iets terug te doen voor gemeenschappen en organisaties overal ter wereld. Of het nu gaat om donaties van scheepsvoorwerpen aan een weeshuis, het opruimen van een buurtpark, 5K wandelen aan boord om geld in te zamelen voor kankeronderzoek of het schenken van geld aan rampenhulp, Holland America Line en haar medewerkers investeren tijd en middelen om een steentje bij te dragen.
Iedere medewerker van Holland America Line streeft ernaar om onze gasten een werkelijk bijzondere ervaring te bieden. We verheugen ons erop om u welkom te heten aan boord.