Sr Director, AI Strategy & Architecture

The Sr Director, AI Strategy & Architecture role is based in the United States and serves as a strategic AI leader responsible for shaping and scaling enterprise-wide artificial intelligence capabilities. You will act as the bridge between business teams, technology platforms, and AI initiatives to create measurable business impact.

About the role

• Design and implement end-to-end AI workflows across departments including Engineering, Sales, Marketing, Finance, Legal, HR, Operations, and Customer Success.
• Build scalable AI architectures by connecting data platforms, AI models, automation tools, and internal applications into secure production-ready solutions.
• Translate business challenges into practical AI solutions, including LLM integrations, prompt engineering, workflow automation, intelligent data pipelines, and agent-based systems.
• Develop and maintain an enterprise AI roadmap aligned with strategic business objectives and measurable outcomes.
• Ensure AI initiatives follow security, governance, compliance, and responsible AI standards across global operations.
• Partner with leadership teams to evaluate AI opportunities, define investment priorities, and communicate business value.
• Create AI enablement programs including workshops, executive briefings, playbooks, training materials, and reference guides to increase organizational AI maturity.
• Establish communities of practice that encourage knowledge sharing, reusable solutions, and collaboration across teams.
• Monitor AI performance, adoption, efficiency, and cost optimization opportunities through metrics, reporting, and continuous improvement initiatives.
• Define success criteria for AI programs and communicate ROI, business impact, and recommendations to executive stakeholders.
• Stay current with emerging AI technologies, vendors, frameworks, and industry best practices to identify opportunities for innovation.
• Build trusted relationships across business units and influence AI adoption without direct authority.
• Support AI use cases across areas such as cybersecurity, revenue operations, marketing automation, finance optimization, customer success, and employee productivity.

Requirements

• 10-15 years of experience in technology, engineering, architecture, or related roles with significant AI/ML implementation experience in recent years.
• Deep knowledge of modern AI technologies, including large language models (LLMs), agentic frameworks, vector databases, automation platforms, and AI development tools.
• Experience designing and deploying enterprise-scale AI solutions with strong understanding of architecture, integration, and operational considerations.
• Strong understanding of cybersecurity principles and ability to evaluate data protection, governance, and risk considerations in AI deployments.
• Proven ability to lead enterprise transformation initiatives through influence, collaboration, and stakeholder alignment.
• Exceptional executive communication skills with the ability to explain complex AI concepts to both technical and business audiences.
• Experience building business cases, measuring technology ROI, and communicating strategic value to senior leadership.
• Experience in SaaS, cybersecurity, enterprise software, or large-scale technology organizations is preferred.
• Previous experience building AI centers of excellence, innovation programs, or enterprise automation initiatives is a plus.
• Strong curiosity, adaptability, and ability to navigate fast-changing technology landscapes.

Benefits

• Competitive compensation package based on experience, skills, and location.
• Opportunity to lead enterprise AI transformation initiatives with significant business impact.
• Flexible work environment with remote opportunities.
• Access to a collaborative culture focused on innovation, learning, and continuous improvement.
• Opportunity to work with advanced AI technologies and influence company-wide strategy.
• Professional growth opportunities through exposure to executive leadership and cross-functional initiatives.
• Inclusive workplace that values diverse perspectives and encourages collaboration.
• Chance to build scalable AI capabilities that improve security, productivity, and customer outcomes.
• Supportive environment focused on employee development and meaningful contributions.