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Salary: USD 215,300 - 288,225 / annual
Vuori is building an enterprise AI ecosystem and seeking a Senior Director of AI Architecture & Governance to serve as the company's senior technical authority on AI platform design, enterprise standards, and responsible AI governance.
You will set the architectural direction for how AI systems are built and integrated across the organization, establish governance frameworks ensuring security, compliance, scalability, and trustworthiness, and work across teams to raise the quality and consistency of AI development. This role requires a rare combination of deep technical expertise and organizational leadership—engaging at the system design level with engineers while shaping AI strategy with executives and business partners.
Key responsibilities include:
**Architecture & Standards:** 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, and cloud services; raise architectural capability through design reviews and mentoring; make build-versus-buy-versus-partner recommendations.
**AI Governance:** 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 protocols, and responsible AI policies; create governance structures balancing innovation speed with enterprise-grade risk management; partner with Legal, Compliance, Security, and Data teams; implement monitoring, incident response, and continuous improvement for production AI systems.
**Cross-Organizational Partnership:** Work closely with senior technology and business leaders to align AI architecture with organizational priorities; serve as a credible voice on AI architecture and risk with executives and external partners; collaborate with AI product, engineering, and data teams; mentor engineers and technical leads through architectural guidance and design reviews.
**Measurement & Evolution:** Track and report on platform reliability, governance adherence, security posture, and business impact; continuously assess the AI landscape and incorporate emerging technologies and best practices; use data and operational experience to refine standards and remove friction.
**Requirements:**
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field (advanced degree preferred)
- 15+ years of software engineering or technology architecture experience, including 5+ years leading enterprise AI or data platform architecture at scale
- Demonstrated experience designing and governing AI systems in production (LLMs, agentic systems, ML pipelines, model serving infrastructure)
- Deep expertise in enterprise AI governance, risk management, security, and compliance frameworks
- Proven ability to develop and enforce technical standards and architectural principles across large, cross-functional engineering organizations
- Experience with cloud-native architectures on Azure, AWS, or Google Cloud; modern AI infrastructure patterns including RAG, vector databases, and orchestration frameworks
- Experience building and deploying with frontier AI lab models, platforms, and frameworks (Anthropic, OpenAI, Google, Meta, etc.)
- Exceptional communication skills explaining complex AI architecture and governance to engineering, business, and executive audiences
- Strong leadership presence and experience building alignment across matrixed organizations without direct authority over all stakeholders
- Experience with enterprise AI governance platforms, model risk management frameworks, or AI regulatory standards (EU AI Act, NIST AI RMF)
- Familiarity with MLOps, model lifecycle management, AI observability, and responsible AI tooling
- Experience with low-code and pro-code enterprise AI platforms (Azure AI Foundry, Microsoft Copilot Studio, Google Gemini Enterprise)
- Background in retail, direct-to-consumer, e-commerce, or similar consumer operating environment preferred
- Demonstrated ability to build and scale architecture and governance programs in high-growth organizations
- Active engagement with broader AI and technology community through publications, speaking, or open-source contributions
