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Klaviyo is seeking a Senior AI Systems & Solutions Architect to accelerate how the Customer Success organization leverages AI to operate smarter and deliver greater impact. This role sits at the intersection of applied AI, solutions architecture, and internal enablement, serving as connective tissue across the Success organization.
You will build AI-powered solutions that solve both creative and operational challenges, spanning content creation acceleration, smarter learning experiences, internal data integration, and workflow automation. Your work will help teams use tools like Claude, ChatGPT, and Glean more effectively by building reusable prompts, skills, agents, and workflows aligned to real business needs.
Key responsibilities include:
**Program Strategy & Discovery**: Partner with Success leaders to identify high-impact opportunities for AI and automation. Prioritize opportunities based on efficiency gains and business impact. Translate ambiguous ideas 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 to rapidly validate business solutions. Design and connect AI systems using APIs, MCPs, automation platforms, and internal data sources. Develop effective prompts, skills, agents, and retrieval workflows that improve quality and reliability of AI outputs. Collaborate with engineering teams to scale successful prototypes into production-grade systems.
**Enablement & AI Literacy**: Create documentation, implementation guides, and best practices enabling teams to build and adopt AI solutions. Lead enablement sessions, workshops, and office hours to grow AI fluency. Stay current on emerging AI capabilities and best practices.
You are a systems thinker with strong technical foundation and passion for solving business problems with AI. You communicate clearly, translate technical concepts effectively, and enable others to adopt AI solutions. You're comfortable partnering with engineering teams to scale solutions into production.
Preferred qualifications include 4+ years in AI solutions, solutions architecture, internal tooling, or automation; hands-on experience building with Claude or other leading LLM platforms; experience integrating AI with APIs and internal systems; and demonstrated ability to rapidly prototype and iterate based on feedback.
