Senior AI Solution Architect

Private Destinations • Seattle, WA

1d • Hybrid

About The Position

Holland America 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, retrieval‑augmented 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 platforms—including identity services, APIs, data
lakes, and event-driven systems—while 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
Well‑Architected Reviews for AI workloads, and designs zero‑trust 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.

Here’s a summary of what Holland America Line is looking for.  Is this you?

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Cloud Computing, or a related technical field; Master's 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.

Responsibilities

• Enterprise AI & Cloud Architecture Leadership: Serve as the principal technical authority for AI and cloud‑native architecture across Holland America Line and Seabourn. Own end‑to‑end architecture for agentic AI systems—from discovery and prototyping through production deployment, observability, and lifecycle optimization. Define and govern reusable reference architectures for autonomous agents, multi‑step tool/function calling, RAG pipelines, real‑time inference, and model evaluation frameworks. Establish cloud governance standards and lead AWS Well‑Architected 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, content‑safety layers, and privacy‑preserving techniques including differential privacy, tokenization, and secure fine‑tuning 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 build‑vs‑buy decisions, vendor selection, and long‑term platform direction.
• Security, Compliance & Risk Management: Partner with security, risk, and compliance teams to design zero‑trust 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 AI‑specific attack vectors including prompt injection, data poisoning, and model exfiltration. Ensure audit‑grade 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, auto‑scaling policies, and latency/throughput SLOs for high‑volume 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 multi‑brand, global AI platforms.
• Cross‑Functional Leadership, Mentorship & Delivery Enablement: Partner with product, engineering, data science, platform, and security leaders to define business‑aligned AI use cases and target‑state architectures. Lead technical discovery workshops, design sprints, and architecture reviews across multiple business units and regions. Mentor senior and mid‑level engineers, fostering architectural thinking and elevating technical decision‑making across teams. Unblock complex engineering challenges and conduct code/design reviews for high‑impact initiatives. Accelerate delivery by building reusable IaC modules (CDK/Terraform), CI/CD templates, observability blueprints, and self‑service developer platforms. Represent the organization in AWS partnership discussions and at industry events.

Benefits

• Cruise and Travel Privileges for You and Your Family
• Health Benefits
• 401(k)
• Employee Stock Purchase Plan
• Training & Professional Development
• Tuition & Professional Certification Reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees