Risepoint
VP, AI Transformation & Enterprise Architecture
US - Remote · Vp
Sponsorship not specifiedDetected 12 days ago
Distributed SystemsVector DatabasesCloud PlatformsPlatform EngineeringMachine LearningLLMsRAGAgentic AILLMOpsMLOpsAI OrchestrationM&ALeadershipProblem Solving
About the role
- Risepoint is poised to transform the organization using technology and an AI-first mindset.
- This role requires a unique blend of deep engineering leadership, enterprise architecture expertise, AI innovation, and strategic consulting capabilities.
Responsibilities
- Lead and scale AI adoption across all technology teams at Risepoint.
- Oversee the design, development, deployment, and lifecycle management of Agentic AI, Generative AI, and intelligent automation solutions.
- Drive technical excellence in AI application development, model integration, orchestration frameworks, evaluation, observability, and governance.
- Partner with executive leadership and cross-functional stakeholders to identify, prioritize, and scale high-impact AI initiatives that improve operational efficiency, customer experience, employee productivity, and business outcomes.
- Lead the development and implementation of AI governance, architecture standards, risk management frameworks, and responsible AI practices to ensure scalable and sustainable adoption.
- Collaborate across Product, Operations, Marketing, Finance, HR, and other business units to embed AI capabilities into core business processes, workflows, and customer-facing solutions.
- Own and evolve the company's enterprise architecture strategy, ensuring alignment with business objectives and growth plans.
- Create scalable technology roadmaps that support innovation while maintaining operational excellence and security.
- Drive M&A Integrations
- Lead technology due diligence and integration planning for mergers, acquisitions, and strategic partnerships.
Requirements
- Experience leading enterprise-wide technology transformation initiatives.
- Deep expertise in enterprise architecture, technology strategy, and systems integration.
- Experience leading technology integration efforts associated with mergers, acquisitions, or large-scale organizational transformations.
- Experience in fast-moving industries and organizations that have technology systems supporting multiple brands within the same ecosystem.
- Hands-on experience with Agentic AI architectures, autonomous systems, multi-agent orchestration frameworks, and Generative AI platforms.
- Experience deploying and scaling LLM-based applications and AI-driven automation solutions.
- Expertise across modern cloud platforms, data platforms, APIs, integration architectures, and enterprise SaaS ecosystems.
- Experience operating within high-growth, rapidly evolving organizations.
- Technical Expertise
- Executive Influence: Strong executive presence with the ability to influence senior stakeholders across the organization.
- Proven experience building and scaling software engineering teams and technology organizations.
- Demonstrated success delivering AI-powered products and platforms in production environments.
- Significant experience managing complex cross-functional programs involving both technical and business stakeholders.
- Passion for AI-first strategies and leveraging emerging technologies to accelerate business outcomes.
- Preferred Experience
- Background in top-tier management consulting (e.g., McKinsey, Bain, BCG, Accenture, Deloitte, EY-Parthenon, or similar).
- Experience in the Higher Education industry
Nice to have
- Define and execute the enterprise-wide AI strategy, driving the adoption and integration of AI across technology, operations, and business functions.
- Serve as a strategic advisor and thought leader on emerging AI technologies, translating complex technical concepts into clear business value and executive-level recommendations.
- Champion organizational change management, workforce enablement, and AI literacy initiatives to accelerate enterprise-wide adoption and maximize value realization.
- Establish architecture principles, standards, and governance processes across applications, data, integrations, infrastructure, and AI platforms.
- Ensure interoperability, scalability, reliability, and maintainability across the enterprise technology landscape.
- 15+ years of progressive technology leadership experience, including leading large-scale engineering organizations.
Benefits
- Establish engineering best practices, operating models, and delivery frameworks for AI and machine learning initiatives.
Company info
- We are seeking a visionary and execution-focused VP, AI Transformation and Enterprise Architecture, to lead the next phase of our AI-powered transformation.
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This listing is sourced directly from Risepoint's careers page and normalized into a canonical job model.