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Klaviyo is seeking a Senior AI Systems & Solutions Architect to drive AI adoption and innovation within the Customer Success organization. This role bridges applied AI, solutions architecture, and internal enablement, sitting within the Strategy & Operations team to serve as connective tissue across the Success organization.
You will identify high-impact opportunities where AI and automation can accelerate customer success operations, then translate those opportunities into practical, scalable solutions. Your work spans multiple domains: accelerating content creation, enabling smarter learning experiences, connecting internal data sources, and automating workflows that improve efficiency and decision-making.
Key responsibilities include:
**Program Strategy & Discovery**: Partner with Success leaders to identify areas ripe for AI/automation, prioritize opportunities based on efficiency and impact, and translate ambiguous business challenges into clear program roadmaps with defined outcomes and milestones.
**Technical Prototyping & Productization**: Build AI-powered prototypes and workflows using Claude, LLMs, and modern AI development platforms. Design end-to-end intelligent workflows by integrating APIs, MCPs, automation platforms, and internal data sources. Develop effective prompts, skills, agents, and retrieval workflows. Collaborate with Klaviyo's centralized AI engineering team to evolve prototypes into production-grade systems when needed.
**Enablement & AI Literacy**: Create documentation, implementation guides, and best practices. Lead workshops and office hours to grow AI fluency across teams. Stay current on emerging AI capabilities and tools.
You are a systems thinker with strong technical foundations and passion for solving business problems with AI. You have hands-on experience building AI-powered prototypes using LLMs and modern tools, understand APIs and system integrations, and communicate complex technical concepts clearly. You're comfortable partnering with engineering teams to scale solutions.
Preferred qualifications: 4+ years in AI solutions, solutions architecture, internal tooling, or automation; hands-on experience with Claude or other leading LLM platforms including prompt engineering and agents; experience integrating AI with APIs and internal systems; demonstrated ability to rapidly prototype and iterate based on feedback.
