Senior AI Solution Architect

HollandAmerica Line has been exploring the world since 1873. Our ships offer innovative features and enriching experiences focused on destination exploration and personalized travel inviting guests to savor the journey.

We are looking for an AI Solution Architect. The AI Solution Architect provides enterprise-wide technical leadership for the design governance and evolution of AI and cloud-native systems across Holland America Line and Seabourn. This role defines the architectural standards patterns and platforms that enable agentic AI retrievalaugmented generation (RAG) multi-model orchestration and real-time inference workloads on AWS. Operating as the principal technical authority the architect guides solutions from early discovery and prototyping through production hardening observability and continuous optimization. The position is responsible for establishing reference architectures cloud governance frameworks and security controls that ensure AI systems integrate seamlessly with enterprise platformsincluding identity services APIs data lakes and event-driven systemswhile meeting strict requirements for cost efficiency latency privacy compliance and auditability. The architect partners closely with engineering product data science platform and security teams to drive architectural decisions grounded in quantitative evidence such as evaluation metrics load testing cost modeling and threat analysis. This role also leads the adoption of emerging AWS AI/ML services oversees WellArchitected Reviews for AI workloads and designs zerotrust security boundaries encryption strategies and data protection mechanisms aligned to SOC 2 GDPR and corporate governance standards. The architect provides deep technical mentorship unblocks complex engineering challenges and accelerates delivery by developing reusable infrastructure modules CI/CD patterns and observability blueprints. As a principal-level leader the AI Solution Architect influences long-term platform direction vendor and technology selection and enterprise-wide standards that shape the reliability scalability and financial sustainability of AI capabilities. The role requires strong executive communication the ability to navigate ambiguity and the judgment to balance model performance infrastructure cost security posture and business risk across a multi-brand global organization.

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Responsibilities:

• Enterprise AI & Cloud Architecture Leadership: Serve as the principal technical authority for AI and cloudnative architecture across Holland America Line and Seabourn. Own endtoend architecture for agentic AI systemsfrom discovery and prototyping through production deployment observability and lifecycle optimization. Define and govern reusable reference architectures for autonomous agents multistep tool/function calling RAG pipelines realtime inference and model evaluation frameworks. Establish cloud governance standards and lead AWS WellArchitected Reviews across accounts regions and workloads. Drive architectural decisions using quantitative evidence such as evaluation metrics load tests cost modeling and threat analysis.

• AI Platform Standards Frameworks & Emerging Technology Integration: Define and enforce standards for model selection benchmarking prompt engineering version control and RAG indexing/retrieval patterns. Implement guardrails contentsafety layers and privacypreserving techniques including differential privacy tokenization and secure finetuning pipelines. Evaluate and integrate emerging AWS AI/ML services (Bedrock SageMaker Titan Trainium/Inferentia) into enterprise reference architectures. Maintain architectural decision records (ADRs) and ensure consistent adoption of platform-wide patterns and best practices. Influence buildvsbuy decisions vendor selection and longterm platform direction.

• Security Compliance & Risk Management: Partner with security risk and compliance teams to design zerotrust IAM boundaries secrets rotation KMS encryption strategies and VPC/network segmentation. Define data classification retention and DLP controls aligned with SOC 2 GDPR and corporate governance frameworks. Lead threat modeling for AIspecific attack vectors including prompt injection data poisoning and model exfiltration. Ensure auditgrade logging traceability and monitoring for all AI workloads. Balance model accuracy latency cost and security posture when making architectural tradeoffs.

• Performance Engineering FinOps & Operational Excellence: Build and maintain enterprise cost models and FinOps dashboards for AI/ML workloads across AWS accounts. Define capacity planning autoscaling policies and latency/throughput SLOs for highvolume inference systems. Implement optimization strategies such as inference caching asynchronous orchestration Spot/Graviton usage model distillation quantization and intelligent model routing. Oversee production hardening observability incident response and continuous optimization for AI services. Ensure reliability scalability and cost efficiency across multibrand global AI platforms.

• CrossFunctional Leadership Mentorship & Delivery Enablement: Partner with product engineering data science platform and security leaders to define businessaligned AI use cases and targetstate architectures. Lead technical discovery workshops design sprints and architecture reviews across multiple business units and regions. Mentor senior and midlevel engineers fostering architectural thinking and elevating technical decisionmaking across teams. Unblock complex engineering challenges and conduct code/design reviews for highimpact initiatives. Accelerate delivery by building reusable IaC modules (CDK/Terraform) CI/CD templates observability blueprints and selfservice developer platforms. Represent the organization in AWS partnership discussions and at industry events.

Knowledge & Skills:

• Scope: This role serves as the enterprise-wide technical authority for AI and cloudnative architecture across Holland America Line and Seabourn overseeing the full lifecycle of agentic AI systems on AWS. The position defines and governs reference architectures for autonomous agents multi-step tool/function orchestration retrievalaugmented generation (RAG) realtime inference pipelines and model evaluation frameworks. It spans multiple business units brands and geographic regions ensuring AI capabilities integrate seamlessly with identity systems APIs data lakes event buses and event-driven platforms. The architect is accountable for cloud governance standards AWS WellArchitected Reviews and the adoption of emerging AWS AI/ML services such as Bedrock SageMaker Titan and Trainium/Inferentia.

• Problem solving: The role operates in high ambiguity with incomplete information requiring the ability to make consequential tradeoffs between model accuracy inference latency infrastructure cost security posture and business risk. The architect leads threat modeling for AI-specific attack vectorsincluding prompt injection data poisoning and model exfiltrationand designs zero-trust IAM boundaries encryption strategies secrets rotation and network segmentation to mitigate risk. Complex technical challenges are resolved through deep technical credibility quantitative analysis and rigorous evaluation frameworks rather than intuition. The architect unblocks delivery teams conducts code and design reviews and ensures that AI workloads are hardened observable and resilient in production environments.

• Impact: Architectural decisions made in this role directly affect production reliability system scalability speed-to-market for AI products enterprise security posture regulatory compliance and multi-milliondollar AWS operating costs. The architect ensures AI systems meet stringent requirements for latency cost efficiency privacy auditability and compliance with SOC 2 GDPR and corporate governance frameworks. By developing reusable IaC modules CI/CD templates observability blueprints and self-service developer platforms the role accelerates delivery velocity across teams. The architect also builds enterprise FinOps models defines performance SLOs and implements optimization strategiessuch as inference caching asynchronous orchestration Spot/Graviton compute model distillation and quantizationto ensure sustainable cost-effective AI operations.

• Leadership: The role provides principal-level technical leadership setting the long-term architectural direction for the enterprise AI platform and influencing buildvsbuy decisions vendor selection and platform strategy. It requires deep collaboration with engineering product data science platform and security leaders to define business-aligned AI use cases and target-state architectures. As a hands-on leader the architect prototypes rapidly mentors senior engineers and architects guides teams through design sprints and architecture reviews and represents the organization in AWS partnership discussions and industry events. The position also establishes enterprise standards for model selection benchmarking prompt engineering RAG patterns privacy-preserving techniques and architectural decision records.

Requirements

• Bachelors degree in Computer Science Software Engineering Cloud Computing or a related technical field; Masters degree preferred.

• 10 years in software engineering cloud architecture or solution architecture with hands-on production system delivery.

• 5 years designing and operating workloads on AWS (advanced networking IAM security reliability performance CI/CD multi-account governance).

• 3 years hands-on experience delivering GenAI/LLM applications to production (autonomous agents RAG systems fine-tuned models evaluation pipelines).

• AWS Solutions Architect Professional certification required; AWS Machine Learning Specialty or AWS Security Specialty strongly preferred.

• Demonstrated ability to lead architecture decisions at the enterprise level and communicate complex technical strategies to C-suite stakeholders.

• Experience with infrastructure as code (CDK or Terraform) and modern CI/CD pipelines in regulated environments.

• Designed shipped and operated at least two production-grade LLM/agent systems with defined SLOs evaluation frameworks and continuous improvement cycles.

• Architected enterprise-scale AWS environments (multi-account multi-region) with landing zones guardrails and cost governance.

• Integrated AI services with enterprise identity providers (Okta Azure AD) API gateways event-driven architectures and data lake/lakehouse platforms.

• Built and enforced security controls for sensitive data (PII/PHI) including encryption tokenization DLP and audit-grade logging/traceability.

• Led cloud cost optimization initiatives resulting in measurable savings on AI/ML infrastructure spend.

• Operated AI systems post-launch with production observability (monitoring alerting incident response post-mortems SLO tracking).

• Mentored or technically led teams of 5 engineers through complex architecture and delivery cycles.

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.

What You Can Expect

• Cruise and Travel Privileges for You and Your Family
• Health Benefits
• 401(k)
• Employee Stock Purchase Plan
• Training & Professional Development
• Tuition & Professional Certification Reimbursement
• BaseSalaryRange: $124600 to $168200The range is applicable for the labor market where the role is intended to be salary isdirectly relatedto eachcandidatesqualifications and experience uniquely.

Our CultureStronger Together

Our highest responsibility and top priorityiscompliance 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 visit our site to learn more about our Culture Essentials Corporate VisionStatementand our Core Values at: Americais 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 lawsregulationsand ordinances.

Americans with Disabilities Act (ADA)

Holland America will provide reasonable accommodations with the application process upon your request asrequiredtocomply withapplicable you have a disability and requireassistancein this application process please contact

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