Principal AI Architect – Governance

Vuori

. Shape the evolution of Vuori's enterprise AI architecture .

Posted 11/2/2026full-timeRemote • California • United StatesLead💰 $197,500 - $264,390 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in enterprise AI architecture, governance, and risk management, with a strong focus on compliance and ethical standards. Proven ability to influence cross-functional teams and establish technical standards in high-growth environments.

Highest-signal resume keywords

Enterprise AI ArchitectureAI Governance FrameworksCloud-Native ArchitecturesModel Risk ManagementTechnical Standards Development

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Hard Skills

Software EngineeringPlatform EngineeringAI Systems DesignMachine Learning PipelinesModel Serving InfrastructureAI Infrastructure PatternsTechnical Standards DefinitionArchitecture Decision MakingAI Regulatory StandardsMLOps

Soft Skills

Exceptional Communication SkillsStrong Executive PresenceInfluencing DecisionsMentoring EngineersBuilding Alignment

Tools & Technologies

AzureAWSGoogle CloudAzure AI FoundryMicrosoft Copilot StudioGoogle Gemini EnterpriseVector DatabasesOrchestration FrameworksFrontier AI Lab ModelsResponsible AI Tooling

Industry Keywords

RetailDirect-to-ConsumerE-CommerceAI Compliance FrameworksEU AI ActNIST AI RMFData PrivacyBias DetectionAudit TrailsSecurity Guardrails

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Shape the evolution of Vuori's enterprise AI architecture
Establish reference architectures, engineering standards, and integration patterns
Lead technical evaluations of AI platforms, foundation models, cloud services, and tooling
Make build-versus-buy-versus-partner recommendations
Raise engineers' architectural capability through design reviews, pairing, documentation, and reusable patterns
Develop and operationalize Vuori's AI governance framework covering model risk management, data privacy, bias detection, audit trails, and regulatory compliance
Establish AI engineering standards, security guardrails, testing and evaluation protocols, and responsible AI policies
Partner with Legal, Compliance, Security, and Data teams on regulations, data handling, and ethical standards
Implement monitoring, incident response, and continuous improvement processes for production AI systems
Align AI architecture and governance with organizational priorities and investment decisions
Advise executive sponsors, engineering leadership, and external partners or auditors on AI architecture and risk
Collaborate with AI product, engineering, and data teams to embed architectural and governance requirements from the start
Mentor engineers and technical leads through architectural guidance and design reviews
Track and report platform reliability, governance adherence, security posture, and business impact
Assess emerging AI technologies, best practices, and industry standards
Refine standards, improve governance processes, and remove friction for teams building AI responsibly

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field; advanced degree preferred
12+ years of experience in software engineering, platform engineering, or technology architecture
Significant experience owning enterprise AI or data platform architecture at scale
Experience designing and governing AI systems in production, including LLMs, agentic systems, ML pipelines, and model serving infrastructure
Deep expertise in enterprise AI governance, risk management, security, and compliance frameworks
Experience defining technical standards, making architecture decisions, and driving adoption across large, cross-functional engineering organizations through influence rather than direct authority
Experience with cloud-native architectures on Azure, AWS, or Google Cloud
Experience with modern AI infrastructure patterns including RAG, vector databases, and orchestration frameworks
Experience building and deploying with frontier AI lab models, platforms, and/or frameworks, including Anthropic, OpenAI, Google, or Meta
Exceptional communication skills with engineering, business, and executive audiences
Strong executive presence and ability to build alignment, challenge assumptions constructively, and influence decisions across a matrixed organization
Preferred: Experience with enterprise AI governance platforms, model risk management frameworks, or AI regulatory standards such as the EU AI Act or NIST AI RMF
Preferred: Familiarity with MLOps, model lifecycle management, AI observability, and responsible AI tooling
Preferred: Experience with Azure AI Foundry, Microsoft Copilot Studio, or Google Gemini Enterprise
Preferred: Background in retail, direct-to-consumer, e-commerce, or a similar consumer operating environment
Preferred: Demonstrated ability to establish and scale practical architecture standards and governance capabilities in high-growth organizations
Preferred: Active engagement with the broader AI and technology community through publications, speaking, or open-source contributions

Benefits

Comp & perks

Health Insurance
Savings and Retirement Plan
Employee Assistance Program
Generous Vuori Discount & Industry Perks
Paid Time Off
Wellness & Fitness benefits
Bonus eligible